3267 lines
1.5 MiB
3267 lines
1.5 MiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Deep Otello AI\n",
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"\n",
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"The game reversi is a very good game to apply deep learning methods to.\n",
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"\n",
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"Othello also known as reversi is a board game first published in 1883 by eiter Lewis Waterman or John W. Mollet in England (each one was denouncing the other as fraud).\n",
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"It is a strickt turn based zero-sum game with a clear Markov chain and now hidden states like in card games with an unknown distribution of cards or unknown player allegiance.\n",
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"There is like for the game go only one set of stones with two colors which is much easier to abstract than chess with its 6 unique pieces.\n",
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"The game has a symmetrical game board wich allows to play with rotating the state around an axis to allow for a breaking of sequences or interesting ANN architectures, quadruple the data generation by simulation or interesting test cases where a symetry in turns should be observable if the AI reaches an \"objective\" policy."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Content\n",
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"\n",
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"* [The game rules](#the-game-rules) A short overview over the rules of the game.\n",
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"* [Some common Otello strategies](#some-common-otello-strategies) introduces some easy approaches to a classic Otello AI and defines some behavioral expectations.\n",
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"* [Initial design decisions](#initial-design-decisions) an explanation about some initial design decision and assumptions\n",
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"* [Imports and dependencies](#imports-and-dependencies) explains what libraries where used"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## The game rules\n",
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"\n",
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"Othello is played on a board with 8 x 8 fields for two player.\n",
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"The board geometry is equal to a chess game.\n",
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"The game is played with game stones that are black on one siede and white on the other.\n",
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"\n",
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"\n",
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"\n",
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"The player take turns.\n",
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"A player places a stone with his or her color up on the game board.\n",
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"The player can only place stones when he surrounds a number of stones with the opponents color with the new stone and already placed stones of his color.\n",
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"Those surrounded stones can either be horizontally, vertically and/or diagonally be placed.\n",
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"All stones thus surrounded will be flipped to be of the players color.\n",
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"Turns are only possible if the player is also changing the color of the opponents stones. If a player can't act he is skipped.\n",
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"The game ends if both players can't act. The player with the most stones wins.\n",
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"If the score is counted in detail unclaimed fields go to the player with more stones of his or her color on the board.\n",
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"The game begins with four stones places in the center of the game. Each player gets two. They are placed diagonally to each other.\n",
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"\n",
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"\n",
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"<img alt=\"Startaufstellung.png\" src=\"Startaufstellung.png\"/>\n",
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"\n",
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"## Some common Othello strategies\n",
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"\n",
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"As can be easily understood the placement of stones and on the bord is always a careful balance of attack and defence.\n",
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"If the player occupies huge homogenous stretches on the board it can be attacked easier.\n",
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"The boards corners provide safety from wich occupied territory is impossible to loos but since it is only possible to reach the corners if the enemy is forced to allow this or calculates the cost of giving a stable base to the enemy it is difficult to obtain.\n",
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"There are some text on otello computer strategies which implement greedy algorithms for reversi based on a modified score to each field.\n",
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"Those different values are score modifiers for a traditional greedy algorithm.\n",
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"If a players stone has captured such a filed the score reached is multiplied by the modifier.\n",
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"The total score is the score reached by the player subtracted with the score of the enemy.\n",
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"The scores change in the course of the game and converges against one. This gives some indications of what to expect from an Othello AI.\n",
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"\n",
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"<img alt=\"ComputerPossitionScore\" src=\"computer-score.png\"/>\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Initial design decisions\n",
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"\n",
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"At the beginning of this project I made some design decisions.\n",
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"The first onw was that I do not want to use a gym library because it limits the data formats accessible.\n",
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"I choose to implement the hole game as entry in a stack in numpy arrays to be able to accommodate interfacing with a neural network easier and to use scipy pattern recognition tools to implement some game mechanics for a fast simulation cycle.\n",
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"I chose to ignore player colors as far as I could instead a player perspective was used. Which allowed to change the perspective with a flipping of the sign. (multiplying with -1).\n",
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"The array format should also allow for data multiplication or the breaking of strikt sequences by flipping the game along one the for axis, (horizontal, vertical, transpose along both diagonals).\n",
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"\n",
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"I wanted to implement different agents as classes that act on those game stacks.\n",
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"\n",
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"Since computation time is critical all computational have results are saved.\n",
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"The analysis of those is then repeated in real time. If a recalculation of such a section is required the save file can be deleted and the code should be executed again."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 57,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The blackcellmagic extension is already loaded. To reload it, use:\n",
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" %reload_ext blackcellmagic\n",
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"The line_profiler extension is already loaded. To reload it, use:\n",
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" %reload_ext line_profiler\n",
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"The memory_profiler extension is already loaded. To reload it, use:\n",
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" %reload_ext memory_profiler\n"
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]
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}
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],
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"source": [
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"%load_ext blackcellmagic\n",
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"%load_ext line_profiler\n",
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"%load_ext memory_profiler"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Imports and dependencies\n",
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"\n",
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"The following direct dependencies where used for this project:\n",
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"```toml\n",
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"jupyter = \"^1.0.0\"\n",
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"matplotlib = \"^3.6.3\"\n",
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"numpy = \"^1.24.1\"\n",
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"pytest = \"^7.2.1\"\n",
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"python = \"3.10.*\"\n",
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"scipy = \"^1.10.0\"\n",
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"tqdm = \"^4.64.1\"\n",
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"jupyterlab = \"^3.6.1\"\n",
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"torchvision = \"^0.14.1\"\n",
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"torchaudio = \"^0.13.1\"\n",
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"```\n",
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"* `Jupyter` and `jupyterlab` on pycharm was used as an IDE / Ipython was used to implement this code.\n",
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"* `matplotlib` was used for visualisation and statistics.\n",
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"* `numpy` was used for array support and mathematical functions\n",
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"* `tqdm` was used for progress bars\n",
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"* `scipy` contains fast pattern recognition tools for images. It was used to make an initial estimation about where possible turns should be.\n",
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"* `torch` supplied the ANN functionalities."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 58,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pickle\n",
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"import abc\n",
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"import itertools\n",
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"import os.path\n",
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"from abc import ABC\n",
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"from enum import Enum\n",
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"from typing import Final\n",
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"from IPython.display import clear_output, display\n",
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"from pathlib import Path\n",
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"import glob\n",
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"import copy\n",
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"from functools import lru_cache, wraps\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"import seaborn as sns\n",
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"import torch\n",
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"import torch.nn as nn\n",
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"import torch.nn.functional as F\n",
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"from ipywidgets import interact\n",
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"from scipy.ndimage import binary_dilation\n",
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"from tqdm.notebook import tqdm"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Constants\n",
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"\n",
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"Some general constants needed to be defined. Such as board game size and Player and Enemy representations. Also, directional offsets and the initial placement of blocks."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 59,
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"metadata": {},
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"outputs": [],
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"source": [
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"BOARD_SIZE: Final[int] = 8 # defines the board side length as 8\n",
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"PLAYER: Final[int] = 1 # defines the number symbolising the player as 1\n",
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"ENEMY: Final[int] = -1 # defines the number symbolising the enemy as -1\n",
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"EXAMPLE_STACK_SIZE: Final[int] = 1000 # defines the game stack size for examples\n",
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"IMPOSSIBLE: Final[np.ndarray] = np.array([-1, -1], dtype=int)\n",
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"IMPOSSIBLE.setflags(write=False)\n",
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"SIMULATE_TURNS: Final[int] = 70\n",
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"VERIFY_POLICY: Final[bool] = False\n",
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"TRAINING_RESULT_PATH: Final[Path] = Path(\"training_data\")\n",
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"if not os.path.exists(TRAINING_RESULT_PATH):\n",
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" os.mkdir(TRAINING_RESULT_PATH)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The directions array contains all the numerical offsets needed to move along one of the 8 directions in a 2 dimensional grid. This will allow an iteration over the game board.\n",
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"\n",
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"![8-directions.png](8-directions.png \"Offset in 8 directions\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 60,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": "array([[-1, -1],\n [-1, 0],\n [-1, 1],\n [ 0, -1],\n [ 0, 1],\n [ 1, -1],\n [ 1, 0],\n [ 1, 1]])"
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},
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"execution_count": 60,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"DIRECTIONS: Final[np.ndarray] = np.array(\n",
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" [[i, j] for i in range(-1, 2) for j in range(-1, 2) if j != 0 or i != 0],\n",
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" dtype=int,\n",
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")\n",
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"DIRECTIONS.setflags(write=False)\n",
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"DIRECTIONS"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Another constant needed is the initial start square at the center of the board."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 61,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": "array([[-1, 1],\n [ 1, -1]])"
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},
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"execution_count": 61,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"START_SQUARE: Final[np.ndarray] = np.array(\n",
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" [[ENEMY, PLAYER], [PLAYER, ENEMY]], dtype=int\n",
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")\n",
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"START_SQUARE.setflags(write=False)\n",
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"START_SQUARE"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Creating new boards\n",
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"\n",
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"The first function implemented and tested is a function to generate the starting environment as a stack of games.\n",
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"As described above I simply placed a 2 by 2 square in the center of an empty stack of boards."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 62,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": "array([[ 0, 0, 0, 0, 0, 0, 0, 0],\n [ 0, 0, 0, 0, 0, 0, 0, 0],\n [ 0, 0, 0, 0, 0, 0, 0, 0],\n [ 0, 0, 0, -1, 1, 0, 0, 0],\n [ 0, 0, 0, 1, -1, 0, 0, 0],\n [ 0, 0, 0, 0, 0, 0, 0, 0],\n [ 0, 0, 0, 0, 0, 0, 0, 0],\n [ 0, 0, 0, 0, 0, 0, 0, 0]])"
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},
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"execution_count": 62,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"def get_new_games(number_of_games: int) -> np.ndarray:\n",
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" \"\"\"Generates a stack of initialised game boards.\n",
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"\n",
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" Args:\n",
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" number_of_games: The size of the board stack.\n",
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"\n",
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" Returns: The generates stack of games as a stack n x 8 x 8.\n",
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"\n",
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" \"\"\"\n",
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" empty = np.zeros([number_of_games, BOARD_SIZE, BOARD_SIZE], dtype=int)\n",
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" empty[:, 3:5, 3:5] = START_SQUARE\n",
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" return empty\n",
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"\n",
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"\n",
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"get_new_games(1)[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 63,
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"metadata": {},
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"outputs": [],
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"source": [
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"test_number_of_games = 3\n",
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"assert get_new_games(test_number_of_games).shape == (\n",
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" test_number_of_games,\n",
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" BOARD_SIZE,\n",
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" BOARD_SIZE,\n",
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")\n",
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"np.testing.assert_equal(\n",
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" get_new_games(test_number_of_games).sum(axis=1),\n",
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" np.zeros(\n",
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" [\n",
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" test_number_of_games,\n",
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" 8,\n",
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" ]\n",
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" ),\n",
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")\n",
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"np.testing.assert_equal(\n",
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" get_new_games(test_number_of_games).sum(axis=2),\n",
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" np.zeros(\n",
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" [\n",
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" test_number_of_games,\n",
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" 8,\n",
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" ]\n",
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" ),\n",
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")\n",
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"assert np.all(get_new_games(test_number_of_games)[:, 3:4, 3:4] != 0)\n",
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"del test_number_of_games"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Visualisation tools\n",
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"\n",
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"In this section a visualisation help was implemented for debugging of the game and a proper display of the results.\n",
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"For this visualisation ChatGPT was used as a prompted code generator that was later reviewed and refactored by hand to integrate seamlessly into the project as a whole.\n",
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"White stones represent the player, black stones the enemy. A single plot can be used as a subplot when the `ax` argument is used."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 64,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": "<Figure size 300x300 with 1 Axes>",
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"image/png": 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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def plot_othello_board(\n",
|
|
" board: np.ndarray | torch.Tensor,\n",
|
|
" action: np.ndarray | None = None,\n",
|
|
" score: float | None = None,\n",
|
|
" ax=None,\n",
|
|
") -> None:\n",
|
|
" \"\"\"Plots a single otello board.\n",
|
|
"\n",
|
|
" If a matplot axis object is given the board will be plotted into that axis. If not an axis object will be generated.\n",
|
|
" The image generated will be shown directly.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" board: The bord that should be plotted. Only a single games is allowed. A numpy array of the form 8x8 is expected.\n",
|
|
" action: The action taken on each board.\n",
|
|
" score: The score reached with the turn.\n",
|
|
" ax: If needed a matplotlib axis object can be defined that is used to place the board as a sublot into a bigger context.\n",
|
|
" \"\"\"\n",
|
|
" # convert a tensor into an array\n",
|
|
" if isinstance(board, torch.Tensor):\n",
|
|
" board = board.cpu().detach().numpy()\n",
|
|
"\n",
|
|
" # ensure the shape of the array fits\n",
|
|
" assert board.shape == (8, 8)\n",
|
|
" plot_all = False\n",
|
|
"\n",
|
|
" # create a figure if no axis is given\n",
|
|
" if ax is None:\n",
|
|
" fig_size = 3\n",
|
|
" plot_all = True\n",
|
|
" fig, ax = plt.subplots(figsize=(fig_size, fig_size))\n",
|
|
"\n",
|
|
" # set the background color\n",
|
|
" ax.set_facecolor(\"#0f6b28\")\n",
|
|
"\n",
|
|
" # plot the actions\n",
|
|
" if action is not None:\n",
|
|
" ax.scatter(action[0], action[1], s=350 if plot_all else 200, c=\"red\")\n",
|
|
"\n",
|
|
" # plot black and white stones\n",
|
|
" for x_pos, y_pos in itertools.product(range(BOARD_SIZE), range(BOARD_SIZE)):\n",
|
|
" if board[x_pos, y_pos] == ENEMY:\n",
|
|
" color = \"white\"\n",
|
|
" elif board[x_pos, y_pos] == PLAYER:\n",
|
|
" color = \"black\"\n",
|
|
" else:\n",
|
|
" continue\n",
|
|
" ax.scatter(x_pos, y_pos, s=280 if plot_all else 140, c=color)\n",
|
|
"\n",
|
|
" # plot the lines separating the fields\n",
|
|
" for x_pos in range(-1, 8):\n",
|
|
" ax.axhline(x_pos + 0.5, color=\"black\", lw=2)\n",
|
|
" ax.axvline(x_pos + 0.5, color=\"black\", lw=2)\n",
|
|
"\n",
|
|
" # define the size of the plot\n",
|
|
" ax.set_xlim(-0.5, 7.5)\n",
|
|
" ax.set_ylim(7.5, -0.5)\n",
|
|
"\n",
|
|
" # set the axis labels\n",
|
|
" ax.set_xticks(np.arange(8))\n",
|
|
" ax.set_xticklabels(list(\"ABCDEFGH\"))\n",
|
|
" ax.set_yticks(np.arange(8))\n",
|
|
" ax.set_yticklabels(list(\"12345678\"))\n",
|
|
"\n",
|
|
" # overrides the x_label text if a score should be plotted\n",
|
|
" if score is None:\n",
|
|
" ax.set_xlabel(\n",
|
|
" f\"W{np.sum(board == ENEMY)} / {np.sum(board == 0)} / B{np.sum(board == PLAYER)}\"\n",
|
|
" )\n",
|
|
" else:\n",
|
|
" ax.set_xlabel(f\"Score: {score}\")\n",
|
|
" if plot_all:\n",
|
|
" plt.tight_layout()\n",
|
|
" plt.show()\n",
|
|
"\n",
|
|
"\n",
|
|
"plot_othello_board(get_new_games(1)[0], action=np.array([3, 3]))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 65,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"PLOTS_PER_ROW = 4\n",
|
|
"\n",
|
|
"\n",
|
|
"def plot_othello_boards(\n",
|
|
" boards: np.ndarray,\n",
|
|
" actions: np.ndarray | None = None,\n",
|
|
" scores: np.ndarray | None = None,\n",
|
|
") -> None:\n",
|
|
" \"\"\"Plots multiple boards into subplots.\n",
|
|
"\n",
|
|
" The plots are shown directly.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: Plots the boards given into subplots. The maximum number of boards accepted is 70.\n",
|
|
" actions: A list of actions taken on each of the boards.\n",
|
|
" scores: A list of scores reached at each board.\n",
|
|
" \"\"\"\n",
|
|
" # checking if the array input shapes do fit\n",
|
|
" assert len(boards.shape) == 3\n",
|
|
" assert boards.shape[1:] == (BOARD_SIZE, BOARD_SIZE)\n",
|
|
" assert boards.shape[0] < 70\n",
|
|
"\n",
|
|
" if actions is not None:\n",
|
|
" assert len(actions.shape) == 2\n",
|
|
" assert actions.shape[1] == 2\n",
|
|
" assert boards.shape[0] == actions.shape[0]\n",
|
|
"\n",
|
|
" if scores is not None:\n",
|
|
" assert len(scores.shape) == 1\n",
|
|
" assert boards.shape[0] == scores.shape[0]\n",
|
|
"\n",
|
|
" # plots the boards\n",
|
|
" rows = int(np.ceil(boards.shape[0] / PLOTS_PER_ROW))\n",
|
|
" fig, axs = plt.subplots(rows, PLOTS_PER_ROW, figsize=(12, 3 * rows))\n",
|
|
" for game_index, ax in enumerate(axs.flatten()):\n",
|
|
" if game_index >= boards.shape[0]:\n",
|
|
" fig.delaxes(ax)\n",
|
|
" else:\n",
|
|
" action = actions[game_index] if actions is not None else None\n",
|
|
" score = scores[game_index] if scores is not None else None\n",
|
|
" plot_othello_board(boards[game_index], action=action, score=score, ax=ax)\n",
|
|
" plt.tight_layout()\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 66,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def drop_duplicate_boards(\n",
|
|
" boards: np.ndarray,\n",
|
|
" actions: np.ndarray | None,\n",
|
|
") -> tuple[np.ndarray, np.ndarray | None]:\n",
|
|
" \"\"\"Takes a sequence of boards and drops all boards that are unchanged.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A list of boards to be reduced.\n",
|
|
" actions: A list of actions to be reduced alongside the bords.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" A sequence of boards where boards that where equal are dropped.\n",
|
|
" \"\"\"\n",
|
|
" non_duplicates = ~np.all(boards == np.roll(boards, axis=0, shift=1), axis=(1, 2))\n",
|
|
" return (\n",
|
|
" boards[non_duplicates],\n",
|
|
" np.roll(actions, axis=0, shift=1)[non_duplicates]\n",
|
|
" if actions is not None\n",
|
|
" else None,\n",
|
|
" )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Hash Otello Boards\n",
|
|
"\n",
|
|
"A challenge for training any reinforcement learning algorithm is how to properly calibrate the exploration rate."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 67,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def hash_board(board: np.ndarray) -> int:\n",
|
|
" assert board.shape == (8, 8) or board.shape == (64,)\n",
|
|
" return hash(tuple(board.reshape(-1)))\n",
|
|
"\n",
|
|
"\n",
|
|
"def count_unique_boards(boards: np.ndarray) -> int:\n",
|
|
" return np.unique(\n",
|
|
" np.apply_along_axis(hash_board, axis=1, arr=boards.reshape(-1, 64))\n",
|
|
" ).size\n",
|
|
"\n",
|
|
"\n",
|
|
"a = count_unique_boards(np.random.randint(-1, 2, size=(10000, 8, 8)))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Find possible actions to take\n",
|
|
"\n",
|
|
"The frist step in the implementation of an AI like this is to get an overview over the possible actions that can be taken in a situation.\n",
|
|
"Here was the design choice taken to first find fields that are empty and have at least one neighbouring enemy stone.\n",
|
|
"This was implemented with element wise check for a stone and a binary dilation marking all fields neighboring an enemy stone.\n",
|
|
"For that the `SURROUNDING` mask was used. Both aries are then element wise combined using and.\n",
|
|
"The resulting array contains all filed where a turn could potentially be made. Those are then check in detail.\n",
|
|
"The previous element wise operations on the numpy array increase the spead for this operation dramatically.\n",
|
|
"\n",
|
|
"The check for a possible turn is done in detail by following each direction step by step as long as there are enemy stones in that direction.\n",
|
|
"If the board end is reached or en empty filed before reaching a field occupied by the player that direction does not surround enemy stones.\n",
|
|
"If one direction surrounds enemy stone a turn is possible.\n",
|
|
"This detailed step is implemented as a recursion and need to go at leas one step to return True."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 68,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "array([[[1, 1, 1],\n [1, 0, 1],\n [1, 1, 1]]])"
|
|
},
|
|
"execution_count": 68,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"SURROUNDING: Final = np.array(\n",
|
|
" [[[1, 1, 1], [1, 0, 1], [1, 1, 1]]]\n",
|
|
") # defines the binary dilation mask to check if a field is next to an enemy stones\n",
|
|
"SURROUNDING"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 69,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Source https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75\n",
|
|
"def np_cache(*lru_args, array_argument_indexs=(0,), **lru_kwargs):\n",
|
|
" \"\"\"\n",
|
|
" LRU cache implementation for functions whose parameter at ``array_argument_index`` is a numpy array of dimensions <= 2\n",
|
|
"\n",
|
|
" Example:\n",
|
|
" >>> from sem_env.utils.cache import np_cache\n",
|
|
" >>> array = np.array([[1, 2, 3], [4, 5, 6]])\n",
|
|
" >>> @np_cache(maxsize=256)\n",
|
|
" ... def multiply(array, factor):\n",
|
|
" ... return factor * array\n",
|
|
" >>> multiply(array, 2)\n",
|
|
" >>> multiply(array, 2)\n",
|
|
" >>> multiply.cache_info()\n",
|
|
" CacheInfo(hits=1, misses=1, maxsize=256, currsize=1)\n",
|
|
" \"\"\"\n",
|
|
"\n",
|
|
" def decorator(function):\n",
|
|
" @wraps(function)\n",
|
|
" def wrapper(*args, **kwargs):\n",
|
|
" args = list(args)\n",
|
|
" for array_argument_index in array_argument_indexs:\n",
|
|
" np_array = args[array_argument_index]\n",
|
|
" if len(np_array.shape) > 2:\n",
|
|
" raise RuntimeError(\n",
|
|
" f\"np_cache is currently only supported for arrays of dim. less than 3 but got shape: {np_array.shape}\"\n",
|
|
" )\n",
|
|
" hashable_array = tuple(np_array.reshape(-1))\n",
|
|
"\n",
|
|
" args[array_argument_index] = hashable_array\n",
|
|
" return cached_wrapper(*args, **kwargs)\n",
|
|
"\n",
|
|
" @lru_cache(*lru_args, **lru_kwargs)\n",
|
|
" def cached_wrapper(*args, **kwargs):\n",
|
|
" args = list(args)\n",
|
|
" for array_argument_index in array_argument_indexs:\n",
|
|
" hashable_array = args[array_argument_index]\n",
|
|
" array = np.array(hashable_array).reshape(8, 8)\n",
|
|
" args[array_argument_index] = array\n",
|
|
" return function(*args, **kwargs)\n",
|
|
"\n",
|
|
" # copy lru_cache attributes over too\n",
|
|
" wrapper.cache_info = cached_wrapper.cache_info\n",
|
|
" wrapper.cache_clear = cached_wrapper.cache_clear\n",
|
|
" return wrapper\n",
|
|
"\n",
|
|
" return decorator"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 70,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"201 µs ± 15.8 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": "array([[[False, False, False, False, False, False, False, False],\n [False, False, False, False, False, False, False, False],\n [False, False, False, True, False, False, False, False],\n [False, False, True, False, False, False, False, False],\n [False, False, False, False, False, True, False, False],\n [False, False, False, False, True, False, False, False],\n [False, False, False, False, False, False, False, False],\n [False, False, False, False, False, False, False, False]]])"
|
|
},
|
|
"execution_count": 70,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"def _recursive_steps(\n",
|
|
" board: np.ndarray,\n",
|
|
" rec_direction: np.ndarray,\n",
|
|
" rec_position: np.ndarray,\n",
|
|
" step_one: int = 0,\n",
|
|
") -> int:\n",
|
|
" \"\"\"Check if a player can place a stone on the board specified in the direction specified and direction specified.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" board: The board that should be checked for a playable action.\n",
|
|
" rec_direction: The direction that should be checked.\n",
|
|
" rec_position: The position that should be checked.\n",
|
|
" step_one: Defines if the call of this function is the firs or not. Should be kept to the default value for proper functionality.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" True if a turn is possible for possition and direction on the board defined.\n",
|
|
" \"\"\"\n",
|
|
" rec_position = rec_position + rec_direction\n",
|
|
" if np.any((rec_position >= BOARD_SIZE) | (rec_position < 0)):\n",
|
|
" return 0\n",
|
|
" next_field = board[tuple(rec_position.tolist())]\n",
|
|
" if next_field == 0:\n",
|
|
" return 0\n",
|
|
" if next_field == -1:\n",
|
|
" return _recursive_steps(\n",
|
|
" board, rec_direction, rec_position, step_one=step_one + 1\n",
|
|
" )\n",
|
|
" if next_field == 1:\n",
|
|
" return step_one\n",
|
|
"\n",
|
|
"\n",
|
|
"@np_cache(maxsize=2000, array_argument_indexs=(0, 1))\n",
|
|
"def _get_possible_turns_for_board(board: np.ndarray, poss_turns: np.ndarray):\n",
|
|
" for idx, idy in itertools.product(range(BOARD_SIZE), range(BOARD_SIZE)):\n",
|
|
" # insear a cach step here\n",
|
|
" if poss_turns[idx, idy]:\n",
|
|
" position = idx, idy\n",
|
|
" poss_turns[idx, idy] = any(\n",
|
|
" _recursive_steps(board[:, :], direction, position) > 0\n",
|
|
" for direction in DIRECTIONS\n",
|
|
" )\n",
|
|
" return poss_turns\n",
|
|
"\n",
|
|
"\n",
|
|
"def get_possible_turns(boards: np.ndarray, tqdm_on: bool = False) -> np.ndarray:\n",
|
|
" \"\"\"Analyses a stack of boards.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A stack of boards to check.\n",
|
|
" tqdm_on: Uses tqdm to track the progress.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" A stack of game boards containing boolean values showing where turns are possible for the player.\n",
|
|
" \"\"\"\n",
|
|
" assert len(boards.shape) == 3, \"The number fo input dimensions does not fit.\"\n",
|
|
" assert boards.shape[1:] == (\n",
|
|
" BOARD_SIZE,\n",
|
|
" BOARD_SIZE,\n",
|
|
" ), \"The input dimensions do not fit.\"\n",
|
|
"\n",
|
|
" poss_turns = boards == 0 # checks where fields are empty.\n",
|
|
" poss_turns &= binary_dilation(\n",
|
|
" boards == -1, SURROUNDING\n",
|
|
" ) # checks where fields are next to an enemy filed an empty\n",
|
|
" iterate_over = range(boards.shape[0])\n",
|
|
"\n",
|
|
" if tqdm_on:\n",
|
|
" iterate_over = tqdm(iterate_over, total=np.prod(boards.shape))\n",
|
|
" for game in iterate_over:\n",
|
|
" # insear a cach step here\n",
|
|
" poss_turns[game] = _get_possible_turns_for_board(boards[game], poss_turns[game])\n",
|
|
" return poss_turns\n",
|
|
"\n",
|
|
"\n",
|
|
"# some simple testing to ensure the function works after simple changes\n",
|
|
"# this testing is complete, its more of a smoke-test\n",
|
|
"test_array = get_new_games(3)\n",
|
|
"expected_result = np.zeros_like(test_array, dtype=bool)\n",
|
|
"expected_result[:, 4, 5] = expected_result[:, 2, 3] = True\n",
|
|
"expected_result[:, 5, 4] = expected_result[:, 3, 2] = True\n",
|
|
"np.testing.assert_equal(get_possible_turns(test_array), expected_result)\n",
|
|
"\n",
|
|
"\n",
|
|
"# with cach 6.56 ms\n",
|
|
"%timeit get_possible_turns(get_new_games(10)) # checks turn possibility evaluation time for 10 initial games\n",
|
|
"# %timeit get_possible_turns(get_new_games(EXAMPLE_STACK_SIZE)) # check turn possibility evaluation time for EXAMPLE_STACK_SIZE initial games\n",
|
|
"\n",
|
|
"# shows a singe game\n",
|
|
"get_possible_turns(get_new_games(3))[:1]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Besides the ability to generate an array of possible turns there needs to be a functions that check if a given turn is possible.\n",
|
|
"On is needed for the action space validation. The other is for validating a players turn."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 71,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def move_possible(board: np.ndarray, move: np.ndarray) -> bool:\n",
|
|
" \"\"\"Checks if a turn is possible.\n",
|
|
"\n",
|
|
" Checks if a turn is possible. If no turn is possible to input array [-1, -1] is expected.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" board: A board where it should be checkt if a turn is possible.\n",
|
|
" move: The move that should be taken. Expected is the index of the filed where a stone should be placed [x, y]. If no placement is possible [-1, -1] is expected as an input.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" True if the move is possible\n",
|
|
" \"\"\"\n",
|
|
" if np.all(move == -1):\n",
|
|
" return not np.any(get_possible_turns(np.reshape(board, (1, 8, 8))))\n",
|
|
" return any(\n",
|
|
" _recursive_steps(board[:, :], direction, move) > 0 for direction in DIRECTIONS\n",
|
|
" )\n",
|
|
"\n",
|
|
"\n",
|
|
"# Some testing for this function and the underlying recursive functions that are called.\n",
|
|
"assert move_possible(get_new_games(1)[0], np.array([2, 3])) is True\n",
|
|
"assert move_possible(get_new_games(1)[0], np.array([3, 2])) is True\n",
|
|
"assert move_possible(get_new_games(1)[0], np.array([2, 2])) is False\n",
|
|
"assert move_possible(np.zeros((8, 8)), np.array([3, 2])) is False\n",
|
|
"assert move_possible(np.ones((8, 8)) * 1, np.array([-1, -1])) is True\n",
|
|
"assert move_possible(np.ones((8, 8)) * -1, np.array([-1, -1])) is True\n",
|
|
"assert move_possible(np.ones((8, 8)) * 0, np.array([-1, -1])) is True"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 72,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def moves_possible(boards: np.ndarray, moves: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\"Checks if a stack of moves can be executed on a stack of boards.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A board where the next stone should be placed.\n",
|
|
" moves: A stack stones to be placed. Each move is formatted as an array in the form of [x, y] if no turn is possible the value [-1, -1] is expected.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" An array marking for each and every game and move in the stack if the move can be executed.\n",
|
|
" \"\"\"\n",
|
|
" arr_moves_possible = np.zeros(boards.shape[0], dtype=bool)\n",
|
|
" for game in range(boards.shape[0]):\n",
|
|
" if np.all(\n",
|
|
" moves[game] == -1\n",
|
|
" ): # can be all or any. All should be faster since most times neither value will be -1.\n",
|
|
" arr_moves_possible[game] = not np.any(\n",
|
|
" get_possible_turns(np.reshape(boards[game], (1, 8, 8)))\n",
|
|
" )\n",
|
|
" else:\n",
|
|
" arr_moves_possible[game] = any(\n",
|
|
" _recursive_steps(boards[game, :, :], direction, moves[game]) > 0\n",
|
|
" for direction in DIRECTIONS\n",
|
|
" )\n",
|
|
" return arr_moves_possible\n",
|
|
"\n",
|
|
"\n",
|
|
"np.testing.assert_array_equal(\n",
|
|
" moves_possible(np.ones((3, 8, 8)) * 1, np.array([[-1, -1]] * 3)),\n",
|
|
" np.array([True] * 3),\n",
|
|
")\n",
|
|
"\n",
|
|
"np.testing.assert_array_equal(\n",
|
|
" moves_possible(get_new_games(3), np.array([[2, 3], [3, 2], [3, 2]])),\n",
|
|
" np.array([True] * 3),\n",
|
|
")\n",
|
|
"np.testing.assert_array_equal(\n",
|
|
" moves_possible(get_new_games(3), np.array([[2, 2], [1, 1], [0, 0]])),\n",
|
|
" np.array([False] * 3),\n",
|
|
")\n",
|
|
"np.testing.assert_array_equal(\n",
|
|
" moves_possible(np.ones((3, 8, 8)) * -1, np.array([[-1, -1]] * 3)),\n",
|
|
" np.array([True] * 3),\n",
|
|
")\n",
|
|
"np.testing.assert_array_equal(\n",
|
|
" moves_possible(np.zeros((3, 8, 8)), np.array([[-1, -1]] * 3)),\n",
|
|
" np.array([True] * 3),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Reword functions\n",
|
|
"\n",
|
|
"For any kind of reinforcement learning is a reword function needed.\n",
|
|
"For otello this would be the final score, the information who won or changes to the score.\n",
|
|
"A combination of those three would also be possible.\n",
|
|
"It is probably not be possible to weight the current score to high in a reword function since that would be to close to a classic greedy algorithm.\n",
|
|
"But some direct influence would increase the learning speed.\n",
|
|
"In the next section are all three reword functions implemented to be combined and weight later on as needed."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 73,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"223 µs ± 13.6 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n",
|
|
"40.2 µs ± 1.93 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n",
|
|
"40.5 µs ± 1.39 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"def final_boards_evaluation(boards: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\"Evaluates the board at the end of the game.\n",
|
|
"\n",
|
|
" All unused fields are added to the score of the player that has more stones with his color up.\n",
|
|
" This score only applies to the end of the game.\n",
|
|
" Normally the score is represented by the number of stones each player has.\n",
|
|
" In this case the score was combined by building the difference.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A stack of game bords ot the end of the game.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" the combined score for both player.\n",
|
|
" \"\"\"\n",
|
|
" score1, score2 = np.sum(boards == 1, axis=(1, 2)), np.sum(boards == -1, axis=(1, 2))\n",
|
|
" player_1_won = score1 > score2\n",
|
|
" player_2_won = score1 < score2\n",
|
|
" score1_final = 64 - score2[player_1_won]\n",
|
|
" score2_final = 64 - score1[player_2_won]\n",
|
|
" score = np.zeros(boards.shape[0])\n",
|
|
" score[player_1_won] = score1_final\n",
|
|
" score[player_2_won] = -score2_final\n",
|
|
" return score\n",
|
|
"\n",
|
|
"\n",
|
|
"def evaluate_boards(boards: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\"Counts the stones each player has on the board.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A stack of boards for evaluation.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" the combined score for both player.\n",
|
|
" \"\"\"\n",
|
|
" return np.sum(boards, axis=(1, 2))\n",
|
|
"\n",
|
|
"\n",
|
|
"def evaluate_who_won(boards: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\"Checks who won or is winning a game.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A stack of boards for evaluation.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" The information who won for both player. 1 meaning the player won, -1 means the opponent lost. 0 represents a patt.\n",
|
|
" \"\"\"\n",
|
|
" assert boards.shape[1:] == (8, 8)\n",
|
|
" return np.sign(np.sum(boards, axis=(1, 2)))\n",
|
|
"\n",
|
|
"\n",
|
|
"_boards = get_new_games(EXAMPLE_STACK_SIZE)\n",
|
|
"%timeit final_boards_evaluation(_boards)\n",
|
|
"%timeit evaluate_boards(_boards)\n",
|
|
"%timeit evaluate_who_won(_boards)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Execute a chosen action\n",
|
|
"\n",
|
|
"After an evaluation what turns are possible there needs to be a function that executes a turn.\n",
|
|
"This next sections does that."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 74,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class InvalidTurn(ValueError):\n",
|
|
" \"\"\"\n",
|
|
" This error is thrown if a given turn is not valid.\n",
|
|
" \"\"\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 75,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"111 ms ± 2.78 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 300x300 with 1 Axes>",
|
|
"image/png": 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0PjUObEQCmXx0SBrZHnlh/tgDwHHLmdxfJcdyzwPYDeBSuD9+P6K94gH0dQEGBCV1sJ8mAfIbwrXlfKJbICipA3QuTFnTGPJJPDYiwcr89Bjxu0is69ESy2AfwmPYte9JuPWUzYDrv6fDri2/DMC6Hi0xclSkSwPnA/Yjk4ChbRD4u/bQ3/ix/81N4Yav9REBCPxdewQMbeP2kYjofBKLbyGNgMlHh+mDw7H1nmaYt+cyvrs2r9lO2J+iP4br85p1h/1mxQTYry0dCfVD4h3mNVPCEBGIoIhA+7xiFyrsT7EX16B9UBtcKM8HQnyhD/OHob38ec2aUj6JIdlcmsJROYvFguzsbAwZOgSVtmrF6zflGTeV5nOmV8/ls3Yx2QAQIPkhc1cmevXqBb2+4SNW7x8RaXkOcpn5Ndf+NLgzZhtgVji+YxOoXbV81u797EA/2Yt6vxFJgBSorXcmd/O1XLu7+axdTLZ9A/IX9Xojkox6NB+jrTnI3c3Xcu3u5rN2cbVbNuTJXpYXq6leltIamHMrYCk0obK4FmO2jrGPIRTiA32oEYZIdS8Wd2odieHRgxAX2R3Rbe9FVGhnZPxtNU7k/Ywjucew/cQenCvKVS2fvIuNiOowX6pA1cEr9hk2APvhtQ3XR1MsNDmH79C3C4B/n1YefaRiUNe+eOWRFzDsvoGwWq2w2Kzw0dv/N+0VGYOYiHsxLn4UdDod/uen7/HuN8uw5/QBj+WTGGxEBMA+9bNpb4F9wsMbz+1vvjRww9eWS5WouFgJn+gWMD4Q5ta9PEF+AfjHE6/i2UHjYLbYL6zqdDrobrrVzUfv4/zvwV3jMey+gVi5Zx1mblqE8moPP0BLXsMbGgnWSjPK086j9mSZ/QW51yWvLVd7sgzlaedhrXRtvMnWQSH49pW1eHrgaACAQS/v/dGx3NMDR+PbV9aidVCIS/kkHhuRxtlqLKjYkuve/PPX5p2v2JILW42yWwqC/AKwNXkV7g3vDL3OtSMqvU6PruGdsTV5FYL8PHNjJ3kXG5HGmfYWuNeEHK41I9P3yu47+ccTryLqN/fIPgq6HR+9AVG/uQezf/eqW9shMRQ3ou+++w5RUVF1/iQnJ6uxb6Qy86UK+zUhT91bbwNqj5fBfEneLKuDuvbFs4PGuXwkdDO9To/nBo/DoK59PbI98h7Fb0NnzpzBsGHDMGfOHOdrfn7y76CkxqPq4BXnp2IeI9m3GyTjk7RXHnkBZovZ7aOhG5ktZrz88BR+ktbEKP4/4OzZs7j33nsRGip/zBtqfCylNdc/ovckG2C5WAlLaU2D9xl1ah2JYfcN9Hi8QW9AQrcH0Kl1JO8zakIUn5qdPXsWHTt2VGFXyJvMufJOn1ze/oWGtz88ehCsVqsq2VarFQ9GD1Jl26QORY3IZrPh3Llz2LNnDx555BEMHz4c77zzjnOyRWo6LIUmz8+g4SDBPnxHA+Iiu8NiU6cRWWwWxEXGqLJtUoeiU7O8vDyYTCb4+vri/fffx8WLFzF37lxUVVUhJSVF1jYkSUKAj/IJl40+/nX+VuqqJNmf/2uC+WpkVxbXqjPLKmDfbnGNM6u+/Oi29zrvmPY0H70PYtpGIcDH2KR/7u7mi669XJL/Tqd4PKLS0lK0aNEC0rWQb775Bq+++iqOHDnS4JgjjvGIkpKSkJaWpiTSIxITE1FQUICwsDBkZGRoKr++7DFjxiAnJ0e1zM6dO2PDhg23zY+OjobRqPyXQy6TyYQTJ07w5y6wdsfvuirjEQUHB9f5+p577kF1dTXKysoQEnLnO1uLTaUYsWbSHZe7mdHHHxvGLsaY9VNhqm34sL8+RZUlzr+bWr4a2UXl+Yq3o8SF8vzrWfXkZ/xtNXqpePp0qjAHI9ZMatI/d3fzRddebiqVvayiRrR7925MmzYNu3btcr6bnTx5EsHBwbKaEGC/zuTKkAIOptoql9Z3HPg15XyPZof4AIUmdU7PJAAhvs6s+vJP5P2MmIgoVU7Pai21OJ53CpW1prvi5+5qfmOpXQ5FF6vj4uLg5+eHlJQU5OTkIDMzEwsXLsTzzz+veCdJLH2oUdVrRPqwhq8rHMk9Br2kzo39ekmPI7nHVdk2qUPR21FQUBBWrFiB+fPnIykpCYGBgRg3bhwbURNkiFR3NlRD+4a3v/3EHuh06jQinU6HHSf2qLJtUofi4+KuXbti1apVauwLeZE+2Bf6dgGwXKr0+J3V+oiAOw6adq4oF//z0/cY3DXe43dW/+/PWbyZsYnhQ68a5t+nledPz2zXtivDu98s82gTAux3Vr/37cce3Sapj41IwwwRgfbZVT11Y6ME+MS0kD1i457TB7ByzzpYrApnI7kNi9WCFbvX8TmzJoiNSOOMD4S5N++8gwToWvrBODBM0WozNy3Cqf+cdY7K6Kpaixk/5Z/Fm5sXubUdEoONSOMkXz0CR0W614wkQNfSF4Gj2iseLra8uhIjP3gGP1/OcfnIyGK14Of/5GDU4mc4XGwTxUZE0AUYEJTUwX6aBshvSNeW84lugaCkDtC5MHcWABSVF+Phd8cjde8XACD76MixXOreL/DIe+NRVF7sUj6Jx8HzCYD9yChgaBuYuzavdxaP6wte/1of4blZPMqrK/HK+tnYdDgDLz88BQndHrg2i4elzoD5tZZa6CU9dDod/vfnLLz37ce8JnQXYCOiOgwRgQiKCLTPa3ahwv4UfXEN2ge1wYXyfCDEF/owfxjaqzOv2Z7TB7Dn9AF0ah2JB6MHIS4yBjFtoxAV2hmnCnNwPO8UjuQexw7Oa3ZXUfzQq6scD70OGToElbZqxes35al/3c3Xcu3u5rN2MdkAECD5IXNXpjoPvbrNBtgqlH9CYgNQUK5sYPa7JV/LtXssn7V7PztQ/hDS3m9EEiAFauudyd18Ldfubj5rF5Nt34D8Rb3eiCSjHs3HdFG8XoCPEdsmfIIRaya59CTwr6lnYKswQwowoPkfm1a+lmt3N5+1i6vdsiFP9rL8+J6IhGMjIiLh2IiISDg2IiISjo2IiIRT3Ihqamowe/Zs9O3bFwMHDsR7773n2kd7RETXKP74fu7cucjKysKKFStQUVGBv/3tb2jbti3GjRunxv4RkQYoOiIqLS1FWloa5syZgx49emDAgAF49tln8cMPP6i1f0SkAYqOiA4dOoSgoCDEx8c7X5s8ebLHd4qItEXREdGFCxcQERGBzZs349FHH8WDDz6IpUuXwmpVZw5zItIGRUdElZWVOH/+PNatW4cFCxagsLAQM2fOhNFoxLPPPitrG1qcg9zdfC3X7m4+axdXe7kk/2EzRcOALF++HO+++y527tyJiIgIAEBqairWrl2Lb775psF1HcOAOObD9jbR84BreQ501q7N2h2/6x4fBiQ0NBR+fn7OJgQAnTp1Qn6+/HnUi02lmpuD3N18Ldfubj5rF1d7ualU9rKKGlHPnj1RXV2Nc+fOoVOnTgCAnJycOo3pTkTPw92U87Vcu6v5rF187XIouljduXNnDB06FK+//jp++ukn7N69G8uXL8f48eMV7yQRkYPiGxrfeecdzJkzB+PHj4fRaMRTTz2FiRMnqrFvRKQRihtRs2bNsHDhQjX2hYg0ig+9EpFwbEREJBwbEREJx0ZERMKxERGRcGxERCQcGxERCafooVd3OB56HTJ0CCpt1YrXb8ozbrqbr+Xa3c1n7WKyASBA8kPmrkzPP/TqEVqeg9zFfC3X7rF81u797EA/2Yt6vxFJgBSorXcmd/O1XLu7+axdTLZ9A/IX9Xojkox6NB+jrTnI3c3Xcu3u5rN2cbVbNuTJXpYXq4lIODYiIhKOjYiIhGMjIiLh2IiISDg2IiISTtHH9xs3bsTrr79+y+uSJOGnn37y2E4RkbYoakSJiYkYPHiw82uz2Yynn34aQ4cO9fR+EZGGKGpE/v7+8Pe/Puvjxx9/DJvNhmnTpnl8x4hIO1y+RlRaWopPPvkEr7zyCnx9fT25T0SkMS4/4rF27VqEhYXh0UcfVbSeFucgdzdfy7W7m8/axdVeLsl/2MylYUBsNhsefPBBPP/883jyySdlreMYBsQxH7a3iZ4HXMtzoLN2bdbu+F1XbRiQo0eP4vLly/iv//ovxesWm0o1Nwe5u/lart3dfNYurvZyU6nsZV1qRLt370afPn3QokULxeuKnoe7KedruXZX81m7+NrlcOli9Y8//oj777/flVWJiG7hUiM6ffo0unRRPr4JEVF9XGpERUVFaN68uaf3hYg0yqVrRD/++KOn94OINIwPvRKRcGxERCQcGxERCcdGRETCsRERkXBsREQknEsPvbrC8dDrkKFDUGmrVrx+U55x0918Ldfubj5rF5MNAAGSHzJ3Zar30KtbtDwHuYv5Wq7dY/ms3fvZgX6yF/V+I5IAKVBb70zu5mu5dnfzWbuYbPsG5C/q9UYkGfVoPkZbc5C7m6/l2t3NZ+3iardsyJO9LC9WE5FwbEREJBwbEREJx0ZERMKxERGRcGxERCSc4kaUn5+PKVOm4P7770dCQgJSU1NV2C0i0hLF9xH99a9/Rdu2bbFx40acOXMG06ZNQ0REBB566CE19o+INEDREVFZWRmys7Px4osvomPHjhg+fDgGDx6Mffv2qbV/RKQBihqRv78/jEYjNm7ciNraWuTk5ODw4cPo1q2bWvtHRBqgqBH5+flh5syZWL9+PXr27InHHnsMv/3tbzF69Gi19o+INEDxNaKzZ89i2LBheOaZZ3D69GnMmTMHAwYMwMiRI2WtL0kSAnyMinfU6ONf52+lrkqS/fm/Jpiv5drdzWft4movl+Q/9apoPKJ9+/bhr3/9KzIzM+Hvb9+5jz76CFu3bsVXX33V4LqO8YiSkpKQlpYmewc9JTExEQUFBQgLC0NGRoam8lk7axdRu+N33ePjER07dgwdOnRwNiEAiI6OxrJly2Rvo9hUihFrJimJBWDvyhvGLsaY9VNhqq1SvH5RZYnz76aWr+Xa3c1n7eJqLzeVyl5WUSMKCwvD+fPnUVNTA19fXwBATk4O2rVrJ3sbNpvNpSEFHEy1VS6t7zjwa8r5Wq7d1XzWLr52ORRdrE5ISICPjw9SUlJw7tw57Ny5E8uWLcPEiRMV7yQRkYOiI6JmzZohNTUV8+bNw+9//3uEhITgxRdfxNixY9XaPyLSAMWfmnXp0gWrVq1SY1+ISKP40CsRCcdGRETCsRERkXBsREQkHBsREQnHRkREwrEREZFwih56dYfZbMYPP/yAxxIfg8lWrXh9SZIQYgxGsanUtal/TZbr0+8aG34Ar7Hla7l2d/NZu5hsADBKfvgq4yv07NkTBkPDtyx6bcppq9UKAPgqo+Gn9Ino7uL43W+I146IrFYrzGYzdDodJAXjlBBR02Sz2WC1WmEwGKDTNXwVyGuNiIjodnixmoiEYyMiIuHYiIhIODYiIhKOjYiIhGMjIiLhmlQj2rhxI6KiovDFF194JS8qKqrOn/79+yMlJQUVFRVeyQfs03y/9dZbSEhIcE5qmZqaKusmMXckJCQ4677vvvsQFxeHcePGYffu3arm1pd/85+srCxh+ePHj1c9GwAqKyvx/vvv49FHH0WPHj3Qr18/JCcn4/Tp06rmJiQkYOPGjbe8vnHjRiQkJKiW67U7qz0hPT0dkZGR2LJli9dml128eDHi4uJgtVqRn5+PmTNnYuHChZg9e7bq2SUlJRg7dizCwsIwb948tGvXDkePHsWcOXNw4cIFzJgxQ9X8N954A4mJibBarSgrK8PmzZsxZcoUfPrppxg4cKCq2Tfm36xFixaqZ98u38fHR/XciooKPPnkk6isrMT06dNx3333oaSkBJ9//jnGjRuHzZs3o3379qrvhzc1mUZ05coV7Nu3D/Pnz8f06dNx4cIFr/wwWrRogdDQUABAeHg4pkyZgtmzZ3ulEb377rvw9fXFihUr4OfnBwBo3749/P398ac//QkTJkxAp06dVMtv1qxZndr/+7//G4WFhViwYAG2bdumWm59+SKIyl+6dCmuXLmCjIwMNG/eHAAQERGBBQsWID8/H6mpqaq/CXlbkzk1+/rrr9GsWTOMHDkSYWFh2LJli5D9MBqVT93ripqaGqSnp+Opp55yNiGHYcOGITU1FREREV7ZlxuNHTsWP//8M86fP+/1bC2wWq3YtGkTnnnmGWcTutHChQvx6quvCtgzdTWZRpSeno6hQ4dCp9MhISEBmzdvdumJYHcUFxdj9erVGDlypOpZubm5qKysRGxs7C3fkyQJ/fv3d05y6U333HMPAODMmTNez9aC3NxcFBcXo0+fPvV+PywsrM5My3eLJnFqlp+fj8OHD+OZZ54BADz88MNYu3YtDh06dNsfmKdMmjQJer0eNpsNJpMJwcHBmDVrlqqZAPDrr78CsJ8eNCaO/fHGBfs333wTc+bMqfNa27ZtkZ6ernr27fL37t2LgIAA1TJLSuzTRN94Hez777/Hn//8Z+fXav8b1Fe32WxW9TS1STSi9PR0+Pn5YdCgQQCA+Ph4tGjRAps2bVK9Ec2dOxc9e/aEzWZDSUkJ1qxZg/Hjx2Pbtm1o1aqVarnBwcEA7J+aNSbl5eUAgKCgINWzkpOT8fDDD9d57U7j2qidr/apueN0zPFGBABxcXHYvHkzAODbb7/F2rVrVd2H+upWO7fJNKKqqir07t3b+ZrFYsHXX3+NGTNmqHqoGh4ejg4dOgAAOnbsiJiYGPTr1w9fffUVJkyYoFpuZGQkmjVrhuPHj6NHjx63fP/FF1/ExIkTvfLp1Y1OnToFAOjatavqWa1atXL+24sgIr9Dhw4IDg7GkSNHnD93o9Ho3A813/wc6qtb7dxGf43o3LlzOHHiBFJSUrB582bnn3/+858oLy/Hd99959X90el0sNlssFgsquYYDAYkJibi888/R01NTZ3v7dy5Ezt37kRYWJiq+1CftLQ0xMTE3HUfHzcWBoMBSUlJ+Ne//uU8+rzR5cuXBeyV+hr9EVF6ejqCg4MxduzYOhdn7733XixduhSbN2/GiBEjVMsvKytDYWEhAPt1kZUrV8Jisah6c5fD1KlTMXr0aDz33HOYOnUqfvOb3yArKwuLFi3CH/7wB3Tp0kXV/KtXr6KwsNB5Wvrll18iIyMDK1euVDX35vybBQYGqnqdRrSpU6fi0KFDGDduHF566SXExMSgpKQEX3zxBb788ks8/vjjonfR45pEIxoxYkS9nxCNHz8e8+bNw+XLlxEeHq5K/tSpU53/bTQa0b17d3zyySdeOSIIDQ3F2rVrsXjxYkybNg2lpaWIjIxEcnKyV+7wnT9/PubPn28fuzgkBNHR0UhNTVX9utzN+Tf7y1/+gj/96U9e2QcRjEYjVq9ejX/961/48MMPcf78efj6+qJHjx5YvHgxhg8fLnoXPY4jNBKRcI3+GhER3f3YiIhIODYiIhKOjYiIhGMjIiLh2IiISDg2IiISjo2IiIRjI7rLTJ48Ga+//nqd1/79738jKioKixcvrvP6hx9+iFGjRtV5zWaz4dlnn6133OKbffDBB1i2bFm93xs5cuQt4z3//PPPAOyPyqSkpKB///747W9/i+XLl7uctXjx4joZsbGxGDVqFDIzM+vdztWrVzF48GBZ9ZH3sBHdZfr06YOjR4/WeS0rKwthYWG3DDqfnZ2N+Ph459dWqxVz587F3r17ZWXt27cPAwYMuOV1i8WCX375BWvWrMGePXucfzp37gwAmDFjBg4cOIClS5fivffew7p167Bq1SqXsgD7MBmOjPT0dDz++OOYOnUqLl68eMuyixYtQkFBgaz6yHvYiO4yvXv3xtmzZ+sMXJaVlYXnnnsO2dnZqKqqcr7+ww8/OBvR5cuX8fTTT2Pnzp31DlF6s4qKCpw7dw7du3e/5XsXL15EbW0tevTogdDQUOcfg8GA4uJipKenY/bs2ejduzf69OmDadOmYcWKFS5lAfYB7R0ZkZGRmDRpEtq2bYudO3fWWe7gwYPYv3+/0HGwqX5sRHeZ2NhY+Pj44Pjx4wCA//znP8jLy8Po0aPRrFkzHD58GIB9eJWysjLnA6zHjx9HmzZtkJaWJmtUyIMHDyIuLg56vf6W7505cwZt2rS5ZaxtAM6jlJ49ezpfi4qKQmFhYb1HMHfKup2bn86vqanBjBkzMHPmTCFD7FLD2IjuMr6+vujZsyd+/PFHAMD+/fvRvXt3BAYGom/fvs7Ts+zsbHTt2hUtW7YEYJ/PauHChQgJCZGV09Cp0tmzZ+Hj44MpU6bggQcewIQJE5z74xhg68ZxdfLz8wFcHyZVSdbNbDYbtm/fjl9++QUPPfSQ8/Vly5YhOjraOconNS5sRHehPn36OH/xs7Ky0K9fPwD2IXZvbEQ3Xh9SqqHm4DjaGj16NJYvX4577rkHTz/9NPLz8xEREYFevXph3rx5KC0tRWFhIZYsWQIAqK2tVZwFXD9iiouLQ/fu3fHnP/8ZSUlJaNOmDQD7Edq6detuuYhPjQcb0V3oxgvWWVlZzoYTHx+PY8eOoaamBtnZ2ejbt69L2y8uLsaVK1duO1zsnDlzsH37dgwfPhwxMTGYNWsW2rVr55wCauHChSgoKED//v2RmJjo/OSuvnGw75QFAN27d3eO3Lllyxa888472Lp1K5YsWQKbzYaUlBQkJyejdevWLtVL6mv0A6ORcnFxcSgoKMDRo0dRUFCA+++/H4B9nOlmzZrhwIEDOHPmjMtHRPv373ceZdXHYDDUaSqSJKFz587O07EOHTpgy5YtuHLlCpo1a4bc3FzodDq0bdtWcRYA+Pv71xljuUuXLsjLy8PKlSvxxBNP4MiRIzh16hTefvttAIDJZMKbb76JjIwMfPrpp4pqJ3WwEd2FAgIC0K1bN6xfvx6xsbHOmSckSULfvn2xceNGdOzYUfb1oJvt37+/wVOliRMnol+/fnjppZcA2G8LOHXqFJ566ilYrVY8//zzeO211xAVFQUA2LVrF6Kjo+s9IrpT1u3YbDZYrVaEh4fj22+/vWX/Jk6c6JX56Ugenprdpfr27Yv09PRbjnri4+OxY8cOl0/LgDtfs0lISEBqaip27NiBnJwc/OMf/8DVq1fxxBNPQKfTwd/fH++++y5++eUXbN++HUuXLsULL7zgUhZgv7ZUWFiIwsJCFBQUYPfu3fjss8/w2GOPwWAwoEOHDnX+GAwGtGrVSrXhhUk5HhHdpXr37o2VK1fecloTHx8Pk8nk8mnZpUuXAKDB6a7/+Mc/orq6GnPnzkVRURF69uyJVatWOY94Zs+ejRkzZuCJJ55Aq1atkJKSUucTLiVZAHDkyBHnp2E6nQ6hoaEYNWoUkpOTXaqRvI9jVhORcDw1IyLh2IiISDg2IiISjo2IiIRjIyIi4diIiEg4NiIiEo6NiIiEYyMiIuHYiIhIODYiIhKOjYiIhPv/zmEVpju4HTcAAAAASUVORK5CYII=\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def do_moves(boards: np.ndarray, moves: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\"Executes a single move on a stack o Othello boards.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A stack of Othello boards where the next stone should be placed.\n",
|
|
" moves: A stack of stone placement orders for the game. Formatted as coordinates in an array [x, y] of the place where the stone should be placed. Should contain [-1,-1] if no new placement is possible.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" The new state of the board.\n",
|
|
" \"\"\"\n",
|
|
"\n",
|
|
" def _do_directional_move(\n",
|
|
" board: np.ndarray, rec_move: np.ndarray, rev_direction, step_one=True\n",
|
|
" ) -> bool:\n",
|
|
" \"\"\"Changes the color of enemy stones in one direction.\n",
|
|
"\n",
|
|
" This function works recursive. The argument step_one should always be used in its default value.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" board: A bord on which a stone was placed.\n",
|
|
" rec_move: The position on the board in x and y where this function is called from. Will be moved by recursive called.\n",
|
|
" rev_direction: The position where the stone was placed. Inside this recursion it will also be the last step that was checked.\n",
|
|
" step_one: Set to true if this is the first step in the recursion. False later on.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" True if a stone could be flipped.\n",
|
|
" All changes are made on the view of the numpy array and therefore not included in the return value.\n",
|
|
" \"\"\"\n",
|
|
" rec_position = rec_move + rev_direction\n",
|
|
" if np.any((rec_position >= 8) | (rec_position < 0)):\n",
|
|
" return False\n",
|
|
" next_field = board[tuple(rec_position.tolist())]\n",
|
|
" if next_field == 0:\n",
|
|
" return False\n",
|
|
" if next_field == 1:\n",
|
|
" return not step_one\n",
|
|
" if next_field == -1:\n",
|
|
" if _do_directional_move(board, rec_position, rev_direction, step_one=False):\n",
|
|
" board[tuple(rec_position.tolist())] = 1\n",
|
|
" return True\n",
|
|
" return False\n",
|
|
"\n",
|
|
" def _do_move(_board: np.ndarray, move: np.ndarray) -> None:\n",
|
|
" \"\"\"Executes a turn on a board.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" _board: The game board on wich to place a stone.\n",
|
|
" move: The coordinates of a stone that should be placed. Should be formatted as an array of the form [x, y]. The value [-1, -1] is expected if no turn is possible.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" All changes are made on the view of the numpy array.\n",
|
|
" \"\"\"\n",
|
|
" if np.all(move == -1):\n",
|
|
" if not move_possible(_board, move):\n",
|
|
" raise InvalidTurn(\"An action should be taken. A turn is possible.\")\n",
|
|
" return\n",
|
|
"\n",
|
|
" # noinspection PyTypeChecker\n",
|
|
" if _board[tuple(move.tolist())] != 0:\n",
|
|
" raise InvalidTurn(\"This turn is not possible.\")\n",
|
|
"\n",
|
|
" action = False\n",
|
|
" for direction in DIRECTIONS:\n",
|
|
" if _do_directional_move(_board, move, direction):\n",
|
|
" action = True\n",
|
|
" if not action:\n",
|
|
" raise InvalidTurn(\"This turn is not possible.\")\n",
|
|
"\n",
|
|
" # noinspection PyTypeChecker\n",
|
|
" _board[tuple(move.tolist())] = 1\n",
|
|
"\n",
|
|
" boards = boards.copy()\n",
|
|
" for game in range(boards.shape[0]):\n",
|
|
" _do_move(boards[game], moves[game])\n",
|
|
" return boards\n",
|
|
"\n",
|
|
"\n",
|
|
"%timeit do_moves(get_new_games(EXAMPLE_STACK_SIZE), np.array([[2, 3]] * EXAMPLE_STACK_SIZE))[0]\n",
|
|
"\n",
|
|
"plot_othello_board(\n",
|
|
" do_moves(\n",
|
|
" get_new_games(EXAMPLE_STACK_SIZE), np.array([[2, 3]] * EXAMPLE_STACK_SIZE)\n",
|
|
" )[0],\n",
|
|
" action=np.array([2, 3]),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## An abstract reversi game policy\n",
|
|
"\n",
|
|
"For an easy use of policies an abstract class containing the policy generation / requests an action in an inherited instance of this class.\n",
|
|
"This class filters the policy to only propose valid actions. Inherited instance do not need to care about this. This super class also manges exploration and exploitation with the epsilon value."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 76,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class GamePolicy(ABC):\n",
|
|
" \"\"\"\n",
|
|
" A game policy. Proposes where to place a stone next.\n",
|
|
" \"\"\"\n",
|
|
"\n",
|
|
" def __init__(self, epsilon: float):\n",
|
|
" \"\"\"\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" epsilon: the epsilon / greedy value. Should be between zero and one. Set the mixture of policy and exploration. One means only the policy is used. Zero means only random policies are used. All mixtures inbetween between are possible.\n",
|
|
" \"\"\"\n",
|
|
" if 0 > epsilon > 1:\n",
|
|
" raise ValueError(\"Epsilon should be between zero and one.\")\n",
|
|
" self._epsilon: float = epsilon\n",
|
|
"\n",
|
|
" @property\n",
|
|
" def epsilon(self):\n",
|
|
" return self._epsilon\n",
|
|
"\n",
|
|
" @property\n",
|
|
" @abc.abstractmethod\n",
|
|
" def policy_name(self) -> str:\n",
|
|
" \"\"\"The name of this policy\"\"\"\n",
|
|
" raise NotImplementedError()\n",
|
|
"\n",
|
|
" @abc.abstractmethod\n",
|
|
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\"The internal policy is an unfiltered policy. It should only be called from inside this function\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A board where a policy should be calculated for.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" The policy for this board. Should have the same size as the boards array.\n",
|
|
" \"\"\"\n",
|
|
" raise NotImplementedError()\n",
|
|
"\n",
|
|
" def get_policy(self, boards: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\"Calculates the policy that should be followed.\n",
|
|
"\n",
|
|
" Calculates the policy that should be followed.\n",
|
|
" This function does include the usage of epsilon to configure greediness and exploration.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" boards: A set of boards that show the environment where the policy should be calculated for.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" A vector of indices. Should be formatted as an array of the form [x, y]. The value [-1, -1] is expected if no turn is possible.\n",
|
|
" \"\"\"\n",
|
|
" assert len(boards.shape) == 3\n",
|
|
" assert boards.shape[1:] == (BOARD_SIZE, BOARD_SIZE)\n",
|
|
"\n",
|
|
" if self.epsilon <= 0:\n",
|
|
" policies = np.random.rand(*boards.shape)\n",
|
|
" else:\n",
|
|
" policies = self._internal_policy(boards)\n",
|
|
" if self.epsilon < 1:\n",
|
|
" random_choices = self.epsilon <= np.random.rand((boards.shape[0]))\n",
|
|
" policies[random_choices] = np.random.rand(np.sum(random_choices), 8, 8)\n",
|
|
"\n",
|
|
" # todo talk to team about backpropagation of score and epsilon for greedy factor\n",
|
|
"\n",
|
|
" # todo possibly change this function to only validate the purpose turn and not all turns\n",
|
|
" possible_turns = get_possible_turns(boards)\n",
|
|
" policies[possible_turns == False] = -1.0\n",
|
|
" max_indices = [\n",
|
|
" np.unravel_index(policy.argmax(), policy.shape) for policy in policies\n",
|
|
" ]\n",
|
|
" policy_vector = np.array(max_indices, dtype=int)\n",
|
|
" no_turn_possible = np.all(policy_vector == 0, 1) & (policies[:, 0, 0] == -1.0)\n",
|
|
"\n",
|
|
" policy_vector[no_turn_possible, :] = IMPOSSIBLE\n",
|
|
" return policy_vector"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## A first policy\n",
|
|
"\n",
|
|
"To quantify the quality of a game AI there needs to be some benchmarks.\n",
|
|
"The easiest benchmark is to play against a random player.\n",
|
|
"The easiest player to use as a benchmark is the random player.\n",
|
|
"For this and testing purpose the random policy was implemented."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 77,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class RandomPolicy(GamePolicy):\n",
|
|
" \"\"\"\n",
|
|
" A policy playing a random turn by setting epsilon to 0.\n",
|
|
" \"\"\"\n",
|
|
"\n",
|
|
" def __init__(self, epsilon: float = 0):\n",
|
|
" _ = epsilon\n",
|
|
" super().__init__(epsilon=0)\n",
|
|
"\n",
|
|
" @property\n",
|
|
" def policy_name(self) -> str:\n",
|
|
" return \"random\"\n",
|
|
"\n",
|
|
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
|
|
" pass\n",
|
|
"\n",
|
|
"\n",
|
|
"rnd_policy = RandomPolicy(1)\n",
|
|
"assert rnd_policy.policy_name == \"random\"\n",
|
|
"assert rnd_policy.epsilon == 0\n",
|
|
"\n",
|
|
"rnd_policy_result = rnd_policy.get_policy(get_new_games(10))\n",
|
|
"assert np.any((5 >= rnd_policy_result) & (rnd_policy_result >= 3))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 78,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class GreedyPolicy(GamePolicy):\n",
|
|
" \"\"\"\n",
|
|
" A policy playing always one of the strongest turns.\n",
|
|
" \"\"\"\n",
|
|
"\n",
|
|
" def __init__(self, epsilon: float = 1):\n",
|
|
" _ = epsilon\n",
|
|
" super().__init__(1)\n",
|
|
"\n",
|
|
" @property\n",
|
|
" def policy_name(self) -> str:\n",
|
|
" return \"greedy_policy\"\n",
|
|
"\n",
|
|
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
|
|
" policies = np.random.rand(*boards.shape)\n",
|
|
" poss_turns = boards == 0 # checks where fields are empty.\n",
|
|
" poss_turns &= binary_dilation(boards == -1, SURROUNDING)\n",
|
|
" for game, idx, idy in itertools.product(\n",
|
|
" range(boards.shape[0]), range(BOARD_SIZE), range(BOARD_SIZE)\n",
|
|
" ):\n",
|
|
"\n",
|
|
" if poss_turns[game, idx, idy]:\n",
|
|
" position = idx, idy\n",
|
|
" policies[game, idx, idy] += np.sum(\n",
|
|
" np.array(\n",
|
|
" list(\n",
|
|
" _recursive_steps(boards[game, :, :], direction, position)\n",
|
|
" for direction in DIRECTIONS\n",
|
|
" )\n",
|
|
" )\n",
|
|
" )\n",
|
|
" return policies"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Putting the game simulation together\n",
|
|
"Now it's time to bring all together for a proper simulation."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Playing a single turn\n",
|
|
"\n",
|
|
"The next function needed is used to request a policy, verify that the turn is legit and place a stone and turn enemy stones if possible."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 79,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def single_turn(\n",
|
|
" current_boards: np, policy: GamePolicy\n",
|
|
") -> tuple[np.ndarray, np.ndarray]:\n",
|
|
" \"\"\"Execute a single turn on a board.\n",
|
|
"\n",
|
|
" Places a new stone on the board. Turns captured enemy stones.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" current_boards: The current board before the game.\n",
|
|
" policy: The game policy to be used.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" The new game board and the policy vector containing the index of the action used.\n",
|
|
" \"\"\"\n",
|
|
" policy_results = policy.get_policy(current_boards)\n",
|
|
"\n",
|
|
" # if the constant VERIFY_POLICY is set to true the policy is verified. Should be good though.\n",
|
|
" # todo deactivate the policy verification after some testing.\n",
|
|
" if VERIFY_POLICY:\n",
|
|
" assert np.all(moves_possible(current_boards, policy_results)), (\n",
|
|
" current_boards[(moves_possible(current_boards, policy_results) == False)],\n",
|
|
" policy_results[(moves_possible(current_boards, policy_results) == False)],\n",
|
|
" np.where(moves_possible(current_boards, policy_results) == False),\n",
|
|
" )\n",
|
|
" return do_moves(current_boards, policy_results), policy_results"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "raw",
|
|
"metadata": {},
|
|
"source": [
|
|
"%timeit single_turn(get_new_games(EXAMPLE_STACK_SIZE), RandomPolicy(1))\n",
|
|
"VERIFY_POLICY = False # type: ignore\n",
|
|
"%timeit single_turn(get_new_games(EXAMPLE_STACK_SIZE), RandomPolicy(1))\n",
|
|
"VERIFY_POLICY = True # type: ignore\n",
|
|
"_turn_result = single_turn(get_new_games(EXAMPLE_STACK_SIZE), RandomPolicy(1))\n",
|
|
"plot_othello_boards(_turn_result[0][:8], _turn_result[1][:8])\n",
|
|
"del _turn_result"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Simulate a stack of games\n",
|
|
"This function will simulate a stack of games and return an array of policies and histories."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 80,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 1200x4800 with 61 Axes>",
|
|
"image/png": 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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def simulate_game(\n",
|
|
" nr_of_games: int,\n",
|
|
" policies: tuple[GamePolicy, GamePolicy],\n",
|
|
" tqdm_on: bool = False,\n",
|
|
") -> tuple[np.ndarray, np.ndarray]:\n",
|
|
" \"\"\"Simulates a stack of games.\n",
|
|
"\n",
|
|
" Args:\n",
|
|
" nr_of_games: The number of games that should be simulated.\n",
|
|
" policies: The policies that should be used to simulate the game.\n",
|
|
" tqdm_on: Switches tqdm on.\n",
|
|
"\n",
|
|
" Returns:\n",
|
|
" A stack of board histories and actions.\n",
|
|
" \"\"\"\n",
|
|
" board_history_stack = np.zeros((SIMULATE_TURNS, nr_of_games, 8, 8), dtype=np.int8)\n",
|
|
" action_history_stack = np.zeros((SIMULATE_TURNS, nr_of_games, 2), dtype=np.int8)\n",
|
|
" current_boards = get_new_games(nr_of_games)\n",
|
|
" for turn_index in tqdm(range(SIMULATE_TURNS)) if tqdm_on else range(SIMULATE_TURNS):\n",
|
|
" policy_index = (turn_index + 1) % 2\n",
|
|
" policy = policies[policy_index]\n",
|
|
" board_history_stack[turn_index, :, :, :] = current_boards\n",
|
|
" if policy_index == 0:\n",
|
|
" current_boards *= -1\n",
|
|
" current_boards, action_taken = single_turn(current_boards, policy)\n",
|
|
" action_history_stack[turn_index, :] = action_taken\n",
|
|
"\n",
|
|
" if policy_index == 0:\n",
|
|
" current_boards *= -1\n",
|
|
"\n",
|
|
" return board_history_stack, action_history_stack\n",
|
|
"\n",
|
|
"\n",
|
|
"simulation_results = simulate_game(1, (RandomPolicy(1), RandomPolicy(1)))\n",
|
|
"_unique_bords, _unique_actions = drop_duplicate_boards(\n",
|
|
" simulation_results[0].reshape(-1, 8, 8), simulation_results[1].reshape(-1, 2)\n",
|
|
")\n",
|
|
"plot_othello_boards(_unique_bords, actions=_unique_actions)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 81,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "(70, 8, 8)"
|
|
},
|
|
"execution_count": 81,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"np.reshape(simulation_results[0], (-1, 8, 8)).shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 82,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "(70, 2)"
|
|
},
|
|
"execution_count": 82,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"simulation_results[1].reshape(-1, 2).shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 83,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"peak memory: 404.57 MiB, increment: 0.77 MiB\n",
|
|
"11.4 s ± 626 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"%memit simulate_game(100, (RandomPolicy(1), RandomPolicy(1)))\n",
|
|
"%timeit simulate_game(100, (RandomPolicy(1), RandomPolicy(1)))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 84,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 1200x4800 with 61 Axes>",
|
|
"image/png": 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oO+uoQDCgaaOnOB67pScflfN7GaWoeXl6Mjoi2g+FhYV65JFH1L17d9m2rZUrV+qf//ynRo0aFat8ABAW+gmAqegneOWsCr/Shpc0f8teR/eQ6ozPJ40cqbThJTpzpz+q+WAe+gleG9ZnkIYff2qH95DqjC/Fp5ITBmtYn0GOlj+rwq91h75lz+HUvYKSVklaZ4uejILIrpc7zJgxY1RRUaHzzjtPF1xwQdjLWZal7LQsR2NmpWW2+TtSByxLNhnIQAbjMtRYlqPlOuK0nyTn28HtNpDc7wsykIEMsckQzY6in8gQywzFexuk809xvO62KyvWKWtWt/vfafp2SKYMid5PUtc4lyVD+BmGFLX/LXuRGlw0UJt3bYs4Q/HeBpVGJYG0UdK4PQ0h4yTKvoh1hnD7ybJt23YywNq1a1VVVaVf//rXOv/88zVr1qyjPj8QCKi8vFzjx49XaWm0XgaRGTt2rCorK1VYWKhly5aRgQxkMCRDSy+UlJTI5/Q3u4eJtJ8kOooMZCBDx6LZUfQTGWKWIRjUyFGjpKlTpblz3Q80bZr01FNa+eGHUkrbD1cYvR2SLAP9ZMZ+IEP4GfLz89W3r/tv0Nu+fbuqqqoiy3CoJ+dKut51AukPkqZJIT2ZKPsi1sLtJ8dXSg0dOlSSVF9fr5kzZ+oXv/iF0tPTO11uj79al8yf6mjMrLRMvTTpMU1ceLP8jZHfUKyqdm/r32QgAxnMyVDjr3Y0bkec9pPkvKPcbgPJ/b4gAxnIEJsM0ewo+okMscywLcVS+oEDjtYbYv9+NaRYumRB6Fs307dDMmVI9H6Susa5LBnCz3D5iAv0xNX3O8p3uAfKntSrq96MOMO2FEs5QUfX5YTIldrtyUTZF7HOEG4/RTQpVVVVpfLycn3nO99pfax///5qbGxUTU2Nevbs2ek6bNtWbaO7z136G+scraPlojAykIEMZmZwIxr91JLFzXZwug1axiYDGchgbgan6CcyeJVhY490Dd2wwXGuNjZs0Iae6e3mNH07JGMGp0zpJ6lrnMuSofMM6yo2usrWup4vNjrqp4090nXKV/VRyXCK1G5PJsq+8CpDZyK60fmOHTs0ffp07dq1q/WxdevWqWfPnmEXFgDEAv0EwFT0E7zyflGWGleXS6tWNX+LnhOBgLRypRrXrNYHvZzdhwSJg36C19bsWK/Vn3+sQNBZRwWCAZV/9pHWfuFsAv79oiwNsaQSufv2vRGSBluiJ6Mgov0wdOhQDR48WLfffrs2b96ssrIyzZ49Wz/96U9jlQ8AwkI/ATAV/QSvPD8oT2m2pEcfDbkPVNh8Pumxx5RmN68PXRv9hHiYWzZfKZazjvKl+DS3bL7jsVt6cobcffveDImejJKIXgk+n09PPPGEsrKyNGnSJP3yl7/UD3/4Q1199dWxygcAYaGfAJiKfoJXVhdk6r1eWWpa+KK0fbvU2BjZChobpW3b1PTSQr3XK0urC5x/KxwSA/2EeChduUyf76lQU6ApouWaAk367KsvtOjfrzseu6UnJ0jqKynSrwfwHVpuvERPRknENzo/7rjjNGfOnFhkAQBX6CcApqKf4JXpY3rpgxe3KuW731XKBx9IOTlSWlrnCzY2SgcOKHj++Qo01Gv6mBNjHxZGoJ/gtbrGel3x+HV6e+aLysnoplRf59MSTYEmHag/qMvnXKu6Rnf3hGrpyb8FbH1D0n5J4XyY0Kfmm5u/ISndZ2n6mF6ucqCZ049RAgAAADDM1rx03Timl7Rpk4JnnCF98UXzDzq6x1TL41980fz8zZt145he2poX3reuAYATn1Zu07dnT1JFdfP9zDq6x1TL4xXVu/Tt2ZO0Zfd212O39ORASe9L6nPo8Y4mR1oe73Po+QMkejKKmJQCAAAAupDSgbmadn4vNW79VE2nDpKuuUYqL2//yeXl0jXXqOnUQWrc+qmmnl+k0oG5HqYFkKy27N6uUfd8Tzf++Tat3dH+jcvX7tigG/98m0bd872oTEi1aOnJfj5LayU9K2l4B88dfujnayX181n0ZJRF/PE9AAAAAGZ7eeAxWlmYpTnLd+rs555T45+eU9rwEqm4WMrNlfbvlzZuVOPqcqXZ0gdFWbr5vBP5zT8AT9U11mvBisVasGKxhvUZpMFFA3Xr6Bv0QNmT+qjiE63ZsT5mYx/ek9fs9GuyJa2zpY1q/khfrqRiSUOs5puav1uUpZvP4wqpaGNSCgAAAOiCtual63vj+mr47jpNXl+tM3es1ylrVis9aKshxdKGnun6YEienh+Ux816AcTdmh3rtXnXNl03+Pt6ddWbqm30x3zMkJ7c6de4PQ1tevLZXln0ZAwxKQUAAAB0YasLMrW64GuSpOy0LC256g+6ZMH1nrzhA4BEQE/GD/eUAgAAAJJJCm8BAOCo6EnPsKUBAAAAAADgOcu2bduLgQKBgMrLyzX63NGqtesdrcOyLOVn91BV7V45iW3XNkm2JEuysp19cpEMZCBD9DNkWxkq+0eZSkpK5PP5HGVwy21Hud0Gkvt9QQYykCE2GeLdUfQTGchAho4kej9JXeNclgxkIEOocPvJ+3tK2ZJ9sMnpoqqsqSQDGcjQ1TJ0y3C+bLQ53A5R2w9kIAMZzMtgSkcl+34gAxnIECrB++nQool/LksGMpAhVJj95P2klCVZ3ZJ3tpAMZCBDeytwNGxsOOyorvIbVzKQgQztrcTZYlFHP5GBDGQIWYmzxaKO93hkIAMZQlYQ3tM8n5SysnzKndjf0bLZaVlaMuUpXTJ/qqO74O+ft1n2wSZZ2anKvYYMZCCDKRkCL1U4GjcWnHaU220gud8XZCADGWKTwZSOop/IQAYyHCnR+0nqGueyZCADGUKF20/c6BwAAAAAAACeY1IKABBdwWC8EwAAAABIAN7fUwoA0KUM312nyeurdVaFX8V7G5T+yChtS7G0sUe63i/K0vOD8rS6IDPeMQEAAAAYhkkpRGxYn0EaUlSs/Px8XT7iAq2r2Kg1O9Z7miGwu07+/X4tWrRI/g17FMi15ONNL+CpE6sbNGf5Tp29069GS1pnS6WSDkjKCdo65at6/XhPvaatrdZ7vbI0fUwvbc1Lj2kmE7rBhAwA2jLhuDQhgwnncABCmdAPZEC8MCmFsGSmZWj8yLGaNnqKhh9/auvjT1x9vyRp9ecfa27ZfJWuXKa6xvqYZLCbgmrctF/1a/YqWNU8xn1/u6/15yn5GcoY1kNpA3JlpfLJVCCWJnyyT48v/1INAVvPSnrUlsrbeV6JLc2QNGGnXx+8uFU3juml0oG5Uc1iQjeYkAFAWyYclyZkMOEcDkAoE/qBDDABk1Lo1MmF/fTKTU/r+J5FCtrt3ytmSO9izZl8r2656CZdPudabdm9PaoZAtUNOvjaZ7IPNHX4nGBVvfzLv1TdP6vU7dIT5IvxFRlAsprwyT7NfWunPpF0oaTt6vgGhWsk/UTSXZLeCNh66q0KWbL18sBjopLFhG4wIQOAtkw4Lk3IYMI5HIBQJvQDGWAKphpxVCcX9tPbM19UUd5xsixLvhRfu8/zpfhkWZaK8o7T33++UCcV9I1ahkB1g2pe3ia7puOyOpxd06Sal7cpUN0QtQwAmp1U3aDHl3+pTyR9Q9KOQ493dGvzlsd3SDpL0iZJjy//UidG4fg0oRtMyACgLROOSxMymHAOByCUCf1ABpjE8aTUtGnTdOutt0YzCwyTmZahV256WjkZ3ZTqC++iulRfqnIyumnx9GeUmZbhOoPdFNTB1z6TGoKSHe5Ckhqal7Ob+BawZEVHxcZjy3eqPmDrQkn7JQXCXC5w6PkXSGoI2JqzfKerHCZ0gwkZkJjop9gx4bg0IYMJ53BITPRTbJnQD2SAaRxNSi1dulRlZWXRzgLDjB85Vsf3LAr7ZKZFqi9VJxzbW+NOu8h1hsZN+5sv5wy3rFrYkn2gSY2b9rvOgMRDR8XG8Mo6nb3Tr1I1f2Qv3AmpFoFDy5VKOnunX8N31znOYkI3mJABiYd+ii0TjksTMphwDofEQz/Fngn9QAaYJuJJqerqaj344IMaOnRoLPLAINNGT+nw/gOdCQQDmjZ6iusM9Wv2xnV5JB46KnYmb6hWoyU9KueX2aaoeflGS5q8vtpxFhO6wYQMSCz0U+yZcFyakMGEczgkFvrJGyb0AxlgmojfV/z2t7/VZZddpv79+8ciDwwxrM8gDT/+1A7vP9AZX4pPJScM1rA+gxxnCOyua/0GBqeCVfUKuLgaA4mHjoqdsyr8WnfoW/acXjQdlLRK0jpbOnOn39E6TOgGEzIg8dBPsWXCcWlCBhPO4ZB46KfYM6EfyAATRXRN7/vvv69//etfWrJkiX796187GtCyLGWnZTlaNists83fkTpgWbLJEFaGIUXFjtZ9pMFFA7V51zZHGfz7nb1hPVLqASmrKHSMRNkXyZChxrIcLXekeHaU220gud8Xsc5QvLdBpY7X3NZGSeP2NLT739nZdoh1NyRKhs4kw2vSqwzR6Cj6KfYZTDguTcgQ63O4cDJ0Jllek15kSPR+krrGuWyivLchQ3iS5TUZ6wzh9lPYk1L19fW68847dccddygz03lx9szKU+mUpxwvL0kvTXrM0XJjF4xVZU2l8rN7aAkZjpohPz/fTbRWt46+QdcN/r6jDIsWLdJ9f7vPdYYbR1ylcePGOcoQrq7+eoh1hvGvjHc1rmRORzndBlL09kVMMgSDSn9klA44XnNb+yWlB20tueoPUkrbi3Y72w6x7oZEyRCuLvua9DCD246in7zJYMJxaUKGWJ/DhZMhXF39NelFhq7ST1Jin8smynsbMkSmq78mY50h3H4Ke1Jqzpw5GjJkiM455xxHgVrs8VfrkvlTHS2blZaplyY9pokLb5a/MfLL9apq97b+TYajZ7h8xAV64ur7HeU73ANlT+rVVW86yuDfsMf1+JL0xKoFerb2dUcZOpMsr4dYZ6jxVzsa93Dx7ii320Byvy9inWFbiqWcYKR3pGxfrqSGFEuXLLg+ogxS7LshUTJ0Jhlek15lcNtR9JM3GUw4Lk3IEOtzuHAydCZZXpNeZEj0fpK6xrlsory3IUN4kuU1GesM4fZT2JNSS5cuVVVVlUaMGCFJamhokCS98cYbWrVqVdjBbNtWbaO7S/b8jXWO1mHbNhnCzLCuYqOrbK3r+WJju2OEkyGQG52PdDXlyHGGcHX114NXGdwwpaOcboOWsU3OsLFHuk75yt09AFqcImlDz3RHx2asuyFRMoSrK78mvc7gFP3kTQYTjksTMsT6HC6cDOHq6q9JLzM4ZUo/SV3jXNb09zZkiExXf016laEzYU9K/fnPf1ZTU1Prvx966CFJ0syZMyOMhkSwZsd6rf78Yw3pXezoRpmBYEBrd2zQ2i82OM7gK8hUSn6GqxvhpeRnyFfg/FJkJA46KvbeL8rSj/fUq8SW1sjZzc5TJA2XNNiSnu3l7PPtJnSDCRmQOOgnb5hwXJqQwYRzOCQO+sk7JvQDGWCisL99r3fv3urbt2/rn27duqlbt27q27dvLPMhjuaWzVeK5eyL330pPs0tm+86Q8awHnFdHomDjoq95wflKc2WZsjdt+/NkJRmN6/PKRO6wYQMSAz0k3dMOC5NyGDCORwSA/3kLRP6gQwwjbP/t0JSKF25TJ/vqVBToKnzJx+mKdCkz776Qov+3f69ECKRNiBXVk6qFOlVnpZk5aQqbUCu6wwAmq0uyNR7vbI0QVJfSZH+/t13aLnxkt7rlaXVLn7DZUI3mJABQFsmHJcmZDDhHA5AKBP6gQwwjeNJqQceeEAPPPBANLPAMHWN9bri8et0oP5g2Cc1TYEmHag/qMvnXKu6Rvf3nrFSU9Tt0hOk9JTwS8uSlN68nJXKvGuyoqNiY/qYXkr3Wfqbmm9WHu7ElO/Q89+QlO6zNH1ML1c5TOgGEzIgMdFPsWPCcWlCBhPO4ZCY6KfYMqEfyADTsDdxVJ9WbtO3Z09SRfUuSc33GWhPy+MV1bv07dmTtGX39qhl8OWlq/uEfrK6h3cLNKt7qrpP6CdfXnrUMgBotjUvXTeO6aWBkt6X1OfQ4x39n0nL430OPX+ApBvH9NLWKByfJnSDCRkAtGXCcWlCBhPO4QCEMqEfyACThH2jcySvLbu3a9Q939O40y7StNFTVHLC4JDnrN2xQXPL5mvRv1+PyW/XfHnpyrnqJDVu2q/6NXvbvTFeSn6GMob1aL4clNlzIGZKB+bKkq3Hl3+ptQFbpZIeldTed/QMV/M9pMar+QqpqWN6qXRg9C65NqEbTMgAoC0TjksTMphwDgcglAn9QAaYgkkphKWusV4LVizWghWLNazPIA0uGqhbR9+gB8qe1EcVn2jNjvUxz2Clpih9UJ7SB+UpsLtOqQekG0dcpSdWLVBTjvgGBsBDLw88RisLszRn+U5ds9OvyZa0zpY2Stqv5o/qFUsaYjXf1PzdoizdfF50rpA6kgndYEIGAG2ZcFyakMGEczgAoUzoBzLABEw1ImJrdqzXq6veVFVVlV5d9WZcTmZ8BZnKKu6hcePGKau4B2UFxMHWvHR9b1xfjZ7YT88OyZMvP0PjUixNkzQuxZIvP0PPDsnT6In9dPEVfWMyIXUkE7rBhAwA2jLhuDQhgwnncABCmdAPZEC8cKUUAMCV1QWZWl3wNUlSdlqWllz1B12y4HrVNvrjnAwAAACAybhSCgAQXSn8XwsAAACAzvHOAQAAAAAAAJ6zbNu2vRgoEAiovLxco88drVrb2Td7WJal/OweqqrdKyex7domyZZkSVa2s08ukoEMZIh+hmwrQ2X/KFNJSYl8Pp+jDG657Si320Byvy/IQAYyxCZDvDuKfiIDGcjQkUTvJ6lrnMuSgQxkCBVuP3l/Tylbsg82OV1UlTWVZCADGbpahm4ZzpeNNofbIWr7gQxkIIN5GUzpqGTfD2QgAxlCJXg/HVo08c9lyUAGMoQKs5+8n5SyJKtb8s4WkoEMZGhvBY6GjQ2HHdVVfuNKBjKQob2VOFss6ugnMpCBDCErcbZY1PEejwxkIEPICsJ7mueTUlaWT7kT+ztaNjstS0umPKVL5k919K1O++dtln2wSVZ2qnKvIQMZyGBKhsBLFY7GjQWnHeV2G0ju9wUZyECG2GQwpaPoJzKQgQxHSvR+krrGuSwZyECGUOH2Ezc6BwAAAAAAgOeYlAIAAAAAAIDnmJQCAAAAAACA55iUQsQCu+vk37BHixYtkn/DHgV213meYVifQbp8xAXKz8/X5SMu0LA+gzzPAMA89BMAU9FPAExGRyFevP/2PSQkuymoxk37Vb9mr4JV9ZKk+/52X+vPU/IzlDGsh9IG5MpKjc1cZ2ZahsaPHKtpo6do+PGntj7+xNX3S5JWf/6x5pbNV+nKZaprrI9JBgDmoZ8AmIp+AmAyOgomYFIKnQpUN+jga5/JPtDU4XOCVfXyL/9Sdf+sUrdLT5AvLz2qGU4u7KdXbnpax/csUtAOtvucIb2LNWfyvbrlopt0+ZxrtWX39qhmAGAe+gmAqegnACajo2AKPr6HowpUN6jm5W2yazouq8PZNU2qeXmbAtUNUctwcmE/vT3zRRXlHSfLsuRL8bX7PF+KT5ZlqSjvOP395wt1UkHfqGUAYB76CYCp6CcAJqOjYJKIJ6XeeustFRcXt/kzY8aMWGRDnNlNQR187TOpISjZ4S4kqaF5Obup/dnuSGSmZeiVm55WTkY3pfrCu7Av1ZeqnIxuWjz9GWWmZbjOgMRBPyUP+gmJhn5KHvQTEg39lFzoKJgm4o/vbd68Weedd57uvvvu1scyMnhRdEWNm/Yf9XLODtmSfaBJjZv2K31QnqsM40eO1fE9i2RZVkTLpfpSdcKxvTXutIu0YMViVxmQOOin5EE/IdHQT8mDfkKioZ+SCx0F00R8pdSnn36qgQMHqqCgoPVPbm5uLLIhzurX7I3r8pI0bfSUDj9f3JlAMKBpo6e4zoDEQT8lD/oJiYZ+Sh70ExIN/ZRc6CiYxtGkVL9+/WIQBSYJ7K5r/QYGp4JV9a6+SnRYn0EafvypHX6+uDO+FJ9KThjMV4kmEfopOdBPSET0U3Kgn5CI6KfkQUfBRBF9fM+2bW3dulXvvvuu/vCHPygQCOjCCy/UjBkzlJ4e3p34LctSdlqWo7BZaZlt/o7UAcuSTYawMvj3+x2t+0ipB6SsotAxwskwpKg4KhkGFw3U5l3bHGXoTLK8HmKdoSbCS3fbE41+kpxvB7fbQHK/L5IlQ6z7KZwMse6ncDJ0JlleD15kcNtR9FPyZKCfwpMsrwcvMiR6P0ld41w2UTLwHi88yfJ6iHWGcPvJsm073Nub6YsvvtCYMWN0xRVX6Ec/+pF27Nihe+65R+eff75mzZp11GUDgYDKy8s1fvx4lZaWhjtkVI0dO1aVlZUqLCzUsmXLyHCUDIsWLdJ9993neqzbb79d48aNc5QhPz9fffu6/3aF7du3q6qqylGGWCNDs5ZeKCkpkc/n7LcmbvpJoqMSKUOs+ymcDLHup3AyeIEMzdx2FP2UPBnoJ++QoRn9ZMZ+SJQMvMfzBhmahdtPEV0p1bt3b61YsULHHHOMLMvSoEGDFAwG9fOf/1y33XZbWEW4x1+tS+ZPjWTYVllpmXpp0mOauPBm+Rsjv2SwqnZv699kOHoG/4Y9jrId6YlVC/Rs7euOMlw+4gI9cfX9rjM8UPakXl31pqMMnUmW10OsM9T4qx2Ne7ho9JPkvKPcbgPJ/b5Ilgyx7qdwMsS6n8LJ0JlkeT14kcFtR9FPyZOBfgpPsrwevMiQ6P0kdY1z2UTJwHu88CTL6yHWGcLtp4i/fS8vL6/Nv08++WTV19dr37596tmzZ6fL27at2kZ3lw36G+scraPlojAydJ4hkOv+41SS1JSjdscIJ8O6io1RybDui42OM4Srq78evMrgltt+asniZjs43QYtY5Oh8wyx7qdwMsS6n8LJEK6u/nrwMoMb9FNyZKCfItPVXw9eZnDDhH6Susa5rOkZeI8Xma7+evAqQ2ciutH5O++8ozPOOEN+//8GWr9+vfLy8sIuLCQGX0GmUvLdfRVsSn6GfAXOPyO/Zsd6rf78YwWCAUfLB4IBlX/2kdZ+scFxBiQO+il50E9INPRT8qCfkGjop+RCR8FEEU1KjRgxQhkZGZo1a5a2bNmisrIyPfjgg7ruuutilQ9xlDGsR1yXl6S5ZfOVYkX8JZGSmr+ZYW7ZfNcZkBjop+RCPyGR0E/JhX5CIqGfkg8dBdNE9Ero3r27nnnmGe3Zs0fjx4/XL3/5S02aNInS6qLSBuTKykmVIr3K05KsnFSlDch1naF05TJ9vqdCTYGmiJZrCjTps6++0KJ/t38/BnQ99FNyoZ+QSOin5EI/IZHQT8mHjoJpIr6n1IABA/Tss8/GIgsMY6WmqNulJ6jm5W1SQ1AK5yOhlqT05uWsVGez34era6zXFY9fp7dnvqicjG5K9XX+km0KNOlA/UFdPuda1TXWu86AxEE/JQ/6CYmGfkoe9BMSDf2UXOgomMb9Kwpdmi8vXd0n9JPVPbz5S6t7qrpP6CdfXnrUMnxauU3fnj1JFdW7JKnDzx+3PF5RvUvfnj1JW3Zvj1oGAOahnwCYin4CYDI6CiaJ+EopJB9fXrpyrjpJjZv2q37NXgWrQmemU/IzlDGsR/PloFGYPT/Slt3bNeqe72ncaRdp2ugpKjlhcMhz1u7YoLll87Xo368zew4kCfoJgKnoJwAmo6NgCialEBYrNUXpg/KUPihPgd11Sj0g3TjiKj2xaoGacuTqGxjCVddYrwUrFmvBisUa1meQBhcN1K2jb9ADZU/qo4pPtGbH+phnAGAe+gmAqegnACajo2ACPr6HiPkKMpVV3EPjxo1TVnEPT8rqSGt2rNerq95UVVWVXl31JmUFQBL9BMBc9BMAk9FRiBcmpQAAAAAAAOA5JqUAAAAAAADgOSalAAAAAAAA4Dn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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"board, action = simulate_game(1, (GreedyPolicy(0), GreedyPolicy(0)))\n",
|
|
"\n",
|
|
"plot_othello_boards(\n",
|
|
" *drop_duplicate_boards(board.reshape(-1, 8, 8), action.reshape(-1, 2))\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Statistical examination of the natural action space and result\n",
|
|
"As for many project some evaluation of the project is in order.\n",
|
|
"\n",
|
|
"1. What is the expected distribution of scores\n",
|
|
"2. What is the expected distribution of possible actions\n",
|
|
"\n",
|
|
" a. over time\n",
|
|
" \n",
|
|
" b. ober space\n",
|
|
"\n",
|
|
"The easiest and robustest way to analyse this is when analyzing randomly played games."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"For this purpose we played a sample of 10k games and saved them for later analysis."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 85,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "((70, 10000, 8, 8), (70, 10000, 2))"
|
|
},
|
|
"execution_count": 85,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"if not os.path.exists(\"rnd_history.npy\") and not os.path.exists(\"rnd_action.npy\"):\n",
|
|
" simulation_results = simulate_game(\n",
|
|
" 10_000, (RandomPolicy(1), RandomPolicy(1)), tqdm_on=True\n",
|
|
" )\n",
|
|
" _board_history, _action_history = simulation_results\n",
|
|
" np.save(\"rnd_history.npy\", np.astpye.astype(np.int8))\n",
|
|
" np.save(\"rnd_action.npy\", _action_history.astype(np.int8))\n",
|
|
"else:\n",
|
|
" _board_history = np.load(\"rnd_history.npy\")\n",
|
|
" _action_history = np.load(\"rnd_action.npy\")\n",
|
|
"_board_history.shape, _action_history.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"For those 10k games the possible actions where evaluated and saved for each and every turn in the game."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 86,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "(70, 10000, 8, 8)"
|
|
},
|
|
"execution_count": 86,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"if not os.path.exists(\"turn_possible.npy\"):\n",
|
|
" __board_history = _board_history.copy()\n",
|
|
" __board_history[1::2] = __board_history[1::2] * -1\n",
|
|
"\n",
|
|
" _poss_turns = get_possible_turns(\n",
|
|
" __board_history.reshape((-1, 8, 8)), tqdm_on=True\n",
|
|
" ).reshape((SIMULATE_TURNS, -1, 8, 8))\n",
|
|
" np.save(\"turn_possible.npy\", _poss_turns)\n",
|
|
" del __board_history\n",
|
|
"_poss_turns = np.load(\"turn_possible.npy\")\n",
|
|
"_poss_turns.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Those possible turms then where counted for all games in the history stack."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"The action space size can be drawn into a histogram by turn and a curve over the mean action space size.\n",
|
|
"This can be used to analyse in which area of the game that cant be solved absolutely."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 87,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "interactive(children=(IntSlider(value=34, description='turn', max=69), Output()), _dom_classes=('widget-intera…",
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"version_major": 2,
|
|
"version_minor": 0,
|
|
"model_id": "a13cb900bf9441bab6cb50c0ea6cc58d"
|
|
}
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"count_poss_turns = np.sum(_poss_turns, axis=(2, 3))\n",
|
|
"mean_possibility_count = np.mean(count_poss_turns, axis=1)\n",
|
|
"std_possibility_count = np.std(count_poss_turns, axis=1)\n",
|
|
"cum_prod = count_poss_turns\n",
|
|
"\n",
|
|
"\n",
|
|
"@interact(turn=(0, 69))\n",
|
|
"def poss_turn_count(turn):\n",
|
|
" fig, axes = plt.subplots(2, 2, figsize=(15, 8))\n",
|
|
" ax1, ax2, ax3, ax4 = axes.flatten()\n",
|
|
" _mean_possibility_count = mean_possibility_count.copy()\n",
|
|
" _std_possibility_count = std_possibility_count.copy()\n",
|
|
" _mean_possibility_count[_mean_possibility_count <= 1] = 1\n",
|
|
" _std_possibility_count[_std_possibility_count <= 1] = 1\n",
|
|
" # np.cumprod(_mean_possibility_count[::-1], axis=0)[::-1]\n",
|
|
" # todo what happens here=\n",
|
|
" fig.suptitle(\n",
|
|
" f\"Action space size analysis\\nThe total size is estimated to be around {np.prod(_mean_possibility_count):.4g}\"\n",
|
|
" )\n",
|
|
" ax1.hist(count_poss_turns[turn], density=True)\n",
|
|
" ax1.set_title(f\"Histogram of the action space size for turn {turn}\")\n",
|
|
" ax1.set_xlabel(\"Action space size\")\n",
|
|
" ax1.set_ylabel(\"Action space size probability\")\n",
|
|
" ax2.set_title(f\"Mean size of the action space per turn\")\n",
|
|
" ax2.set_xlabel(\"Turn\")\n",
|
|
" ax2.set_ylabel(\"Average possible moves\")\n",
|
|
"\n",
|
|
" ax2.errorbar(\n",
|
|
" range(70),\n",
|
|
" mean_possibility_count,\n",
|
|
" yerr=std_possibility_count,\n",
|
|
" label=\"Mean action space size with error bars\",\n",
|
|
" )\n",
|
|
" ax2.scatter(turn, mean_possibility_count[turn], marker=\"x\")\n",
|
|
" ax2.legend()\n",
|
|
"\n",
|
|
" ax4.plot(\n",
|
|
" range(70),\n",
|
|
" np.cumprod(_mean_possibility_count[::-1], axis=0)[::-1],\n",
|
|
" # yerr=np.cumprod(_std_possibility_count[::-1], axis=0)[::-1],\n",
|
|
" )\n",
|
|
" ax4.scatter(\n",
|
|
" turn,\n",
|
|
" np.cumprod(_mean_possibility_count[::-1], axis=0)[::-1][turn],\n",
|
|
" marker=\"x\",\n",
|
|
" )\n",
|
|
" ax4.set_yscale(\"log\", base=10)\n",
|
|
" ax4.set_xlabel(\"Turn\")\n",
|
|
" ax4.set_ylabel(\"Mean remaining total action space size\")\n",
|
|
" fig.delaxes(ax3)\n",
|
|
" fig.tight_layout()\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"It is interesting to see that the action space for the first player (white) is much smaller than for the second player."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 88,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": " Total mean action-space\nwhite 5.687159e+18\nblack 3.753117e+20",
|
|
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Total mean action-space</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>white</th>\n <td>5.687159e+18</td>\n </tr>\n <tr>\n <th>black</th>\n <td>3.753117e+20</td>\n </tr>\n </tbody>\n</table>\n</div>"
|
|
},
|
|
"execution_count": 88,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"white = mean_possibility_count[::2]\n",
|
|
"black = mean_possibility_count[1::2]\n",
|
|
"df = pd.DataFrame(\n",
|
|
" [\n",
|
|
" {\n",
|
|
" \"white\": np.prod(np.extract(white, white)),\n",
|
|
" \"black\": np.prod(np.extract(black, black)),\n",
|
|
" }\n",
|
|
" ],\n",
|
|
" index=[\"Total mean action-space\"],\n",
|
|
").T\n",
|
|
"del white, black\n",
|
|
"df"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"source": [
|
|
"## Hash branching"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 89,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "(70, 10000, 8, 8)"
|
|
},
|
|
"execution_count": 89,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"_board_history.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 90,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 640x480 with 1 Axes>",
|
|
"image/png": 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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def calculate_board_branching(board_history) -> pd.Series:\n",
|
|
" assert len(board_history.shape) == 4\n",
|
|
" assert board_history.shape[-2:] == (8, 8)\n",
|
|
" assert board_history.shape[0] == SIMULATE_TURNS\n",
|
|
" return pd.Series(\n",
|
|
" [count_unique_boards(board_history[turn]) for turn in range(SIMULATE_TURNS)]\n",
|
|
" )\n",
|
|
"\n",
|
|
"\n",
|
|
"_ = calculate_board_branching(_board_history).plot(\n",
|
|
" title=f\"Exploration history over {_board_history.shape[0]} games\"\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 91,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "(70, 10000, 8, 8)"
|
|
},
|
|
"execution_count": 91,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"_poss_turns.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 92,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "interactive(children=(IntSlider(value=34, description='turn', max=69), Output()), _dom_classes=('widget-intera…",
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"version_major": 2,
|
|
"version_minor": 0,
|
|
"model_id": "971814dc66c54e07a9b5023ba251b9a2"
|
|
}
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"mean_poss_turn = np.mean(_poss_turns, axis=1)\n",
|
|
"del _poss_turns\n",
|
|
"\n",
|
|
"\n",
|
|
"@interact(turn=(0, 69))\n",
|
|
"def turn_distribution_heatmap(turn):\n",
|
|
" turn_possibility_on_field = mean_poss_turn[turn]\n",
|
|
"\n",
|
|
" sns.heatmap(\n",
|
|
" turn_possibility_on_field,\n",
|
|
" linewidth=0.5,\n",
|
|
" square=True,\n",
|
|
" annot=True,\n",
|
|
" xticklabels=\"ABCDEFGH\",\n",
|
|
" yticklabels=list(range(1, 9)),\n",
|
|
" )\n",
|
|
" plt.title(f\"Headmap of where stones can be placed on turn {turn}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 93,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[-3.0000e+00 3.0000e+00 -3.2676e+00 3.4806e+00 -3.4580e+00 3.8226e+00\n",
|
|
" -3.7100e+00 3.9858e+00 -3.9067e+00 4.1634e+00 -4.0657e+00 4.2821e+00\n",
|
|
" -4.2312e+00 4.3784e+00 -4.3426e+00 4.5145e+00 -4.4897e+00 4.6117e+00\n",
|
|
" -4.5867e+00 4.7247e+00 -4.7063e+00 4.8099e+00 -4.8431e+00 4.8968e+00\n",
|
|
" -4.9606e+00 5.0358e+00 -5.0702e+00 5.1792e+00 -5.1855e+00 5.2844e+00\n",
|
|
" -5.3018e+00 5.4297e+00 -5.4217e+00 5.5202e+00 -5.5762e+00 5.6520e+00\n",
|
|
" -5.6380e+00 5.8094e+00 -5.8731e+00 5.9880e+00 -6.0011e+00 6.1276e+00\n",
|
|
" -6.1663e+00 6.2579e+00 -6.3777e+00 6.4821e+00 -6.5491e+00 6.5958e+00\n",
|
|
" -6.6924e+00 6.8799e+00 -6.9254e+00 7.1463e+00 -7.2314e+00 7.3976e+00\n",
|
|
" -7.5560e+00 7.7020e+00 -7.8987e+00 7.9810e+00 -7.9981e+00 7.2694e+00\n",
|
|
" -3.0732e+00 6.9830e-01 -1.3740e-01 2.4100e-02 -5.7000e-03 9.0000e-04\n",
|
|
" 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"direct_score = np.sum(_board_history, axis=(-2, -1))\n",
|
|
"score = np.zeros_like(direct_score)\n",
|
|
"score[:-1] = direct_score[1:] - direct_score[:-1]\n",
|
|
"print(np.mean(score, axis=1))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 94,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(70, 10000)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"def calculate_direct_score(board_history: np.ndarray) -> np.ndarray:\n",
|
|
" direct_score = np.sum(board_history, axis=(-2, -1))\n",
|
|
" score = np.zeros_like(direct_score)\n",
|
|
" score[:-1] = direct_score[1:] - direct_score[:-1]\n",
|
|
" return score / 64\n",
|
|
"\n",
|
|
"\n",
|
|
"assert len(calculate_direct_score(_board_history).shape) == 2\n",
|
|
"assert calculate_direct_score(_board_history).shape[0] == SIMULATE_TURNS\n",
|
|
"print(calculate_direct_score(_board_history).shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 95,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "interactive(children=(IntSlider(value=29, description='turn', max=59), Output()), _dom_classes=('widget-intera…",
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"version_major": 2,
|
|
"version_minor": 0,
|
|
"model_id": "d723dae57e614037bfa50ae7ee9a0488"
|
|
}
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"score_history = calculate_direct_score(_board_history)\n",
|
|
"score_history *= 64\n",
|
|
"\n",
|
|
"\n",
|
|
"@interact(turn=(0, 59))\n",
|
|
"def hist_direct_score(turn):\n",
|
|
" fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 6))\n",
|
|
" fig.suptitle(\n",
|
|
" f\"Action space size analysis / total size estimate {np.prod(np.extract(mean_possibility_count, mean_possibility_count)):.4g}\"\n",
|
|
" )\n",
|
|
"\n",
|
|
" ax1.set_title(\n",
|
|
" f\"Histogram of scores on turn {turn} by {'white' if turn % 2 == 0 else 'black'}\"\n",
|
|
" )\n",
|
|
"\n",
|
|
" ax1.hist(score_history[turn], density=True)\n",
|
|
" ax1.set_xlabel(\"Points made\")\n",
|
|
" ax1.set_ylabel(\"Score probability\")\n",
|
|
" ax2.set_title(f\"Points scored at turn\")\n",
|
|
" ax2.set_xlabel(\"Turn\")\n",
|
|
" ax2.set_ylabel(\"Average points scored\")\n",
|
|
" ax2.errorbar(\n",
|
|
" range(60),\n",
|
|
" np.abs(np.mean(score_history, axis=1)[:60]),\n",
|
|
" yerr=np.std(score_history, axis=1)[:60],\n",
|
|
" label=\"Mean score at turn\",\n",
|
|
" )\n",
|
|
" ax2.scatter(\n",
|
|
" turn, np.abs(np.mean(score_history, axis=1))[:60][turn], marker=\"x\", color=\"red\"\n",
|
|
" )\n",
|
|
" ax2.legend()\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 96,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"1.0\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 640x480 with 1 Axes>",
|
|
"image/png": 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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def calculate_final_evaluation_for_history(board_history: np.ndarray) -> np.ndarray:\n",
|
|
" final_evaluation = final_boards_evaluation(board_history[-1])\n",
|
|
" return final_evaluation / 64\n",
|
|
"\n",
|
|
"\n",
|
|
"print(np.max(np.abs(calculate_final_evaluation_for_history(_board_history))))\n",
|
|
"assert len(calculate_final_evaluation_for_history(_board_history).shape) == 1\n",
|
|
"_final_eval = calculate_final_evaluation_for_history(_board_history)\n",
|
|
"plt.title(\"Histogram over the score distribution\")\n",
|
|
"plt.hist((_final_eval * 64), density=True)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 97,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 640x480 with 1 Axes>",
|
|
"image/png": 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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def calculate_who_won(board_history: np.ndarray) -> np.ndarray:\n",
|
|
" \"\"\" \"\"\"\n",
|
|
" who_won = evaluate_who_won(board_history[-1])\n",
|
|
" return who_won\n",
|
|
"\n",
|
|
"\n",
|
|
"plt.title(\"Win distribution\")\n",
|
|
"plt.bar(\n",
|
|
" [\"black\", \"draw\", \"white\"],\n",
|
|
" pd.Series(calculate_who_won(_board_history)).value_counts().sort_index() / 10000,\n",
|
|
")\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 98,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 640x480 with 1 Axes>",
|
|
"image/png": 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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def history_changed(board_history: np.ndarray) -> np.ndarray:\n",
|
|
" return ~np.all(\n",
|
|
" np.roll(board_history, shift=1, axis=0) == board_history, axis=(2, 3)\n",
|
|
" )\n",
|
|
"\n",
|
|
"\n",
|
|
"plt.title(\"Share of turns skipped\")\n",
|
|
"plt.plot(1 - np.mean(history_changed(_board_history), axis=1))\n",
|
|
"plt.xlabel(\"Turn\")\n",
|
|
"plt.ylabel(\"Factor of skipped turns\")\n",
|
|
"plt.yscale(\"log\", base=10)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 99,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "(70, 10000)"
|
|
},
|
|
"execution_count": 99,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"def get_gamma_table(board_history, gamma_value: float):\n",
|
|
" unchanged = history_changed(board_history)\n",
|
|
" gamma_values = np.ones_like(unchanged, dtype=float)\n",
|
|
" gamma_values[unchanged] = gamma_value\n",
|
|
" return gamma_values\n",
|
|
"\n",
|
|
"\n",
|
|
"get_gamma_table(_board_history, 0.8).shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 100,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "array([[-4.42251173e-10, 4.30911400e-10, -4.42251173e-10, ...,\n -3.96892079e-10, -4.08231852e-10, -4.19571626e-10],\n [-6.31787391e-10, 6.15587714e-10, -6.31787391e-10, ...,\n -5.66988684e-10, -5.83188361e-10, -5.99388037e-10],\n [-9.02553415e-10, 8.79411020e-10, -9.02553415e-10, ...,\n -8.09983834e-10, -8.33126229e-10, -8.56268625e-10],\n ...,\n [-8.70535714e-01, 8.48214286e-01, -8.70535714e-01, ...,\n -7.81250000e-01, -8.03571429e-01, -8.25892857e-01],\n [-8.70535714e-01, 8.48214286e-01, -8.70535714e-01, ...,\n -7.81250000e-01, -8.03571429e-01, -8.25892857e-01],\n [-8.70535714e-01, 8.48214286e-01, -8.70535714e-01, ...,\n -7.81250000e-01, -8.03571429e-01, -8.25892857e-01]])"
|
|
},
|
|
"execution_count": 100,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"def calculate_q_reword(\n",
|
|
" board_history: np.ndarray,\n",
|
|
" who_won_fraction: float = 0.2,\n",
|
|
" final_score_fraction=0.2,\n",
|
|
" gamma=0.8,\n",
|
|
") -> np.ndarray:\n",
|
|
" assert who_won_fraction + final_score_fraction <= 1\n",
|
|
" assert final_score_fraction >= 0\n",
|
|
" assert who_won_fraction >= 0\n",
|
|
"\n",
|
|
" gama_table = get_gamma_table(board_history, gamma)\n",
|
|
" combined_score = np.zeros_like(gama_table)\n",
|
|
" combined_score += calculate_direct_score(board_history) * (\n",
|
|
" 1 - (who_won_fraction + final_score_fraction)\n",
|
|
" )\n",
|
|
" combined_score[-1] += (\n",
|
|
" calculate_final_evaluation_for_history(board_history)\n",
|
|
" * final_score_fraction\n",
|
|
" / 0.7\n",
|
|
" )\n",
|
|
" combined_score[-1] += calculate_who_won(board_history) * who_won_fraction\n",
|
|
" for turn in range(SIMULATE_TURNS - 1, 0, -1):\n",
|
|
" values = gama_table[turn] * combined_score[turn]\n",
|
|
" combined_score[turn - 1] += values\n",
|
|
"\n",
|
|
" return combined_score\n",
|
|
"\n",
|
|
"\n",
|
|
"calculate_q_reword(\n",
|
|
" _board_history, gamma=0.7, who_won_fraction=0, final_score_fraction=1\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 101,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "array([-1.53249554e-06, -1.91561943e-06, -2.39452428e-06, -2.99315535e-06,\n -3.74144419e-06, -4.67680524e-06, -5.84600655e-06, -7.30750819e-06,\n -9.13438523e-06, -1.14179815e-05, -1.42724769e-05, -1.78405962e-05,\n -2.23007452e-05, -2.78759315e-05, -3.48449144e-05, -4.35561430e-05,\n -5.44451787e-05, -6.80564734e-05, -8.50705917e-05, -1.06338240e-04,\n -1.32922800e-04, -1.66153499e-04, -2.07691874e-04, -2.59614843e-04,\n -3.24518554e-04, -4.05648192e-04, -5.07060240e-04, -6.33825300e-04,\n -7.92281625e-04, -9.90352031e-04, -1.23794004e-03, -1.54742505e-03,\n -1.93428131e-03, -2.41785164e-03, -3.02231455e-03, -3.77789319e-03,\n -4.72236648e-03, -5.90295810e-03, -7.37869763e-03, -9.22337204e-03,\n -1.15292150e-02, -1.44115188e-02, -1.80143985e-02, -2.25179981e-02,\n -2.81474977e-02, -3.51843721e-02, -4.39804651e-02, -5.49755814e-02,\n -6.87194767e-02, -8.58993459e-02, -1.07374182e-01, -1.34217728e-01,\n -1.67772160e-01, -2.09715200e-01, -2.62144000e-01, -3.27680000e-01,\n -4.09600000e-01, -5.12000000e-01, -6.40000000e-01, -8.00000000e-01,\n -1.00000000e+00, -1.00000000e+00, -1.00000000e+00, -1.00000000e+00,\n -1.00000000e+00, -1.00000000e+00, -1.00000000e+00, -1.00000000e+00,\n -1.00000000e+00, -1.00000000e+00])"
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},
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"execution_count": 101,
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"metadata": {},
|
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"output_type": "execute_result"
|
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}
|
|
],
|
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"source": [
|
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"calculate_q_reword(\n",
|
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" _board_history, gamma=0.8, who_won_fraction=1, final_score_fraction=0\n",
|
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")[:, 0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 102,
|
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"metadata": {},
|
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"outputs": [
|
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{
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"data": {
|
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"text/plain": "array([ -3.09670969, -0.12088712, -3.9011089 , -1.12638612,\n -5.15798265, -0.19747831, -3.99684789, 1.25394014,\n -4.68257483, 0.39678147, -3.25402317, -0.31752896,\n -4.1469112 , 1.066361 , -2.41704875, 3.22868907,\n -4.71413867, 2.85732667, -2.67834167, 2.90207292,\n -5.12240885, -2.65301107, -7.06626383, 2.41717021,\n -5.72853724, -0.91067155, -7.38833944, -0.4854243 ,\n -4.35678037, 5.80402453, 1.00503067, 7.50628834,\n -1.86713958, 1.41607552, -1.9799056 , 1.27511801,\n -12.15610249, -1.44512812, -5.55641015, 1.80448732,\n -1.49439085, 4.38201144, -0.77248571, 2.78439287,\n -5.26950892, -2.83688614, -14.79610768, -4.7451346 ,\n -12.18141825, 1.02322719, -9.97096602, 6.28629248,\n 4.1078656 , 16.384832 , -0.76896 , 2.7888 ,\n -10.264 , 10.92 , 7.4 , 13. ,\n 0. , 0. , 0. , 0. ,\n 0. , 0. , 0. , 0. ,\n 0. , 0. ])"
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},
|
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"execution_count": 102,
|
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"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"calculate_q_reword(\n",
|
|
" _board_history, gamma=0.8, who_won_fraction=0, final_score_fraction=0\n",
|
|
")[:, 0] * 64"
|
|
]
|
|
},
|
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{
|
|
"cell_type": "code",
|
|
"execution_count": 103,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def weights_init_normal(m):\n",
|
|
" \"\"\"Takes in a module and initializes all linear layers with weight\n",
|
|
" values taken from a normal distribution.\n",
|
|
" Source: https://stackoverflow.com/a/55546528/11003343\n",
|
|
" \"\"\"\n",
|
|
"\n",
|
|
" classname = m.__class__.__name__\n",
|
|
" # for every Linear layer in a model\n",
|
|
" if classname.find(\"Linear\") != -1:\n",
|
|
" y = m.in_features\n",
|
|
" # m.weight.data should be taken from a normal distribution\n",
|
|
" m.weight.data.normal_(0.0, 1 / np.sqrt(y))\n",
|
|
" # m.bias.data should be 0\n",
|
|
" m.bias.data.fill_(0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 104,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class DQLNet(nn.Module):\n",
|
|
" def __init__(self):\n",
|
|
" super().__init__()\n",
|
|
" self.fc1 = nn.Linear(8 * 8 * 2, 128 * 2)\n",
|
|
" self.fc2 = nn.Linear(128 * 2, 128 * 3)\n",
|
|
" self.fc3 = nn.Linear(128 * 3, 128 * 2)\n",
|
|
" self.fc4 = nn.Linear(128 * 2, 1)\n",
|
|
"\n",
|
|
" def forward(self, x):\n",
|
|
" if isinstance(x, np.ndarray):\n",
|
|
" x = torch.from_numpy(x).float()\n",
|
|
" x = torch.flatten(x, 1)\n",
|
|
" x = self.fc1(x)\n",
|
|
" x = F.relu(x)\n",
|
|
" x = self.fc2(x)\n",
|
|
" x = F.relu(x)\n",
|
|
" x = self.fc3(x)\n",
|
|
" x = F.relu(x)\n",
|
|
" x = self.fc4(x)\n",
|
|
" x = torch.tanh(x)\n",
|
|
" return x\n",
|
|
"\n",
|
|
"\n",
|
|
"class DQLSimple(nn.Module):\n",
|
|
" def __init__(self):\n",
|
|
" super().__init__()\n",
|
|
" self.fc1 = nn.Linear(8 * 8 * 2, 64 * 3)\n",
|
|
" self.fc2 = nn.Linear(64 * 3, 128 * 2)\n",
|
|
" self.fc3 = nn.Linear(128 * 2, 1)\n",
|
|
"\n",
|
|
" def forward(self, x):\n",
|
|
" if isinstance(x, np.ndarray):\n",
|
|
" x = torch.from_numpy(x).float()\n",
|
|
" x = torch.flatten(x, 1)\n",
|
|
" x = self.fc1(x)\n",
|
|
" x = F.relu(x)\n",
|
|
" x = self.fc2(x)\n",
|
|
" x = F.relu(x)\n",
|
|
" x = self.fc3(x)\n",
|
|
" x = torch.tanh(x)\n",
|
|
" return x\n",
|
|
"\n",
|
|
"\n",
|
|
"assert DQLNet().forward(np.zeros((5, 2, 8, 8))).shape == (5, 1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 105,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class SymmetryMode(Enum):\n",
|
|
" MULTIPLY = \"MULTIPLY\"\n",
|
|
" BREAK_SEQUENCE = \"BREAK_SEQUENCE\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 106,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "((70, 100, 8, 8), (70, 100, 2))"
|
|
},
|
|
"execution_count": 106,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"_board_history, _action_history = simulate_game(100, (RandomPolicy(1), RandomPolicy(1)))\n",
|
|
"_board_history.shape, _action_history.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 107,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(70, 100, 8, 8)\n",
|
|
"(70, 100, 2)\n",
|
|
"(70, 100, 2, 8, 8)\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": "<Figure size 1200x600 with 8 Axes>",
|
|
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|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
|
"text/plain": "<Figure size 1200x600 with 8 Axes>",
|
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"image/png": 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\n"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"def action_to_q_learning_format(\n",
|
|
" board_history: np.ndarray, action_history: np.ndarray\n",
|
|
") -> np.ndarray:\n",
|
|
" q_learning_format = np.zeros(\n",
|
|
" (SIMULATE_TURNS, board_history.shape[1], 2, 8, 8), dtype=float\n",
|
|
" )\n",
|
|
" q_learning_format[:, :, 0, :, :] = board_history\n",
|
|
" q_learning_format[:, :, 1, :, :] = -1\n",
|
|
"\n",
|
|
" game_index = list(range(board_history.shape[1]))\n",
|
|
" for turn_index in range(SIMULATE_TURNS):\n",
|
|
" q_learning_format[\n",
|
|
" turn_index,\n",
|
|
" game_index,\n",
|
|
" 1,\n",
|
|
" action_history[turn_index, game_index, 0],\n",
|
|
" action_history[turn_index, game_index, 1],\n",
|
|
" ] = 1\n",
|
|
" return q_learning_format\n",
|
|
"\n",
|
|
"\n",
|
|
"# %timeit action_to_q_learning_format(_board_history, _action_history)\n",
|
|
"# %memit action_to_q_learning_format(_board_history, _action_history)\n",
|
|
"print(_board_history.shape)\n",
|
|
"print(_action_history.shape)\n",
|
|
"print(action_to_q_learning_format(_board_history, _action_history).shape)\n",
|
|
"plot_othello_boards(\n",
|
|
" action_to_q_learning_format(_board_history, _action_history)[:8, 0, 0]\n",
|
|
")\n",
|
|
"plot_othello_boards(\n",
|
|
" action_to_q_learning_format(_board_history, _action_history)[:8, 0, 1]\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 108,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"52.2 ms ± 1.5 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n",
|
|
"peak memory: 427.71 MiB, increment: 0.00 MiB\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": "(2, 2, 2, 70, 100, 2, 8, 8)"
|
|
},
|
|
"execution_count": 108,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"def build_symetry_action(\n",
|
|
" board_history: np.ndarray, action_history: np.ndarray\n",
|
|
") -> np.ndarray:\n",
|
|
" board_history = board_history.copy()\n",
|
|
" board_history[1::2] *= -1\n",
|
|
" q_learning_format = np.zeros(\n",
|
|
" (2, 2, 2, SIMULATE_TURNS, board_history.shape[1], 2, 8, 8)\n",
|
|
" )\n",
|
|
" q_learning_format[0, 0, 0, :, :, :, :, :] = action_to_q_learning_format(\n",
|
|
" board_history, action_history\n",
|
|
" )\n",
|
|
" q_learning_format[1, 0, 0, :, :, :, :, :] = np.transpose(\n",
|
|
" q_learning_format[0, 0, 0, :, :, :, :, :], [0, 1, 2, 4, 3]\n",
|
|
" )\n",
|
|
" q_learning_format[:, 1, 0, :, :, :, :, :] = q_learning_format[\n",
|
|
" :, 0, 0, :, :, :, ::-1, :\n",
|
|
" ]\n",
|
|
" q_learning_format[:, :, 1, :, :, :, :, :] = q_learning_format[\n",
|
|
" :, :, 0, :, :, :, :, ::-1\n",
|
|
" ]\n",
|
|
" return q_learning_format\n",
|
|
"\n",
|
|
"\n",
|
|
"%timeit build_symetry_action(_board_history, _action_history)\n",
|
|
"%memit build_symetry_action(_board_history, _action_history)\n",
|
|
"build_symetry_action(_board_history, _action_history).shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 109,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def live_history(training_history: pd.DataFrame, max_epochs: int | None):\n",
|
|
" clear_output(wait=True)\n",
|
|
" fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, figsize=(14, 7))\n",
|
|
" _ = training_history[\n",
|
|
" [c for c in training_history.columns if c[1] == \"final_score\"]\n",
|
|
" ].plot(ax=ax1)\n",
|
|
" plt.xlabel(\"epochs\")\n",
|
|
" _ = training_history[[c for c in training_history.columns if \"win\" in c[1]]].plot(\n",
|
|
" ax=ax2\n",
|
|
" )\n",
|
|
" plt.xlabel(\"epochs\")\n",
|
|
" _ = np.sqrt(\n",
|
|
" training_history[[c for c in training_history.columns if \"loss\" == c[0]]]\n",
|
|
" ).plot(ax=ax3)\n",
|
|
" ax3.set_yscale(\"log\")\n",
|
|
" plt.xlabel(\"epochs\")\n",
|
|
" if max_epochs:\n",
|
|
" plt.xlim(0, max_epochs)\n",
|
|
"\n",
|
|
" plt.title(\"Training history\")\n",
|
|
"\n",
|
|
" plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 110,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class QLPolicy(GamePolicy):\n",
|
|
" def __init__(\n",
|
|
" self,\n",
|
|
" epsilon: float,\n",
|
|
" neural_network: DQLNet | DQLSimple,\n",
|
|
" symmetry_mode: SymmetryMode,\n",
|
|
" gamma: float = 0.8,\n",
|
|
" who_won_fraction: float = 0,\n",
|
|
" final_score_fraction: float = 0,\n",
|
|
" optimizer: torch.optim.Optimizer | None = None,\n",
|
|
" loss: nn.modules.loss._Loss | None = None,\n",
|
|
" ):\n",
|
|
" super().__init__(epsilon)\n",
|
|
" assert 0 <= gamma <= 1\n",
|
|
" self.gamma: float = gamma\n",
|
|
" del gamma\n",
|
|
" self.symmetry_mode: SymmetryMode = symmetry_mode\n",
|
|
" del symmetry_mode\n",
|
|
" self.neural_network: DQLNet | DQLSimple = neural_network\n",
|
|
" del neural_network\n",
|
|
" self.who_won_fraction: float = who_won_fraction\n",
|
|
" del who_won_fraction\n",
|
|
" self.final_score_fraction: float = final_score_fraction\n",
|
|
" del final_score_fraction\n",
|
|
"\n",
|
|
" if optimizer is None:\n",
|
|
" self.optimizer = torch.optim.Adam(self.neural_network.parameters(), lr=5e-5)\n",
|
|
" else:\n",
|
|
" self.optimizer = optimizer\n",
|
|
" if loss is None:\n",
|
|
" self.loss = nn.MSELoss()\n",
|
|
" else:\n",
|
|
" self.loss = loss\n",
|
|
" self.training_results: list[dict[tuple[str, str], float]] = []\n",
|
|
" self.loss_history: list[float] = []\n",
|
|
"\n",
|
|
" @property\n",
|
|
" def policy_name(self) -> str:\n",
|
|
" symmetry_name = {SymmetryMode.MULTIPLY: \"M\", SymmetryMode.BREAK_SEQUENCE: \"B\"}\n",
|
|
" g = f\"{self.gamma:.1f}\".replace(\".\", \"\")\n",
|
|
" ww = f\"{self.who_won_fraction:.1f}\".replace(\".\", \"\")\n",
|
|
" fsf = f\"{self.final_score_fraction:.1f}\".replace(\".\", \"\")\n",
|
|
" return f\"QL-{symmetry_name[self.symmetry_mode]}-G{g}-WW{ww}-FSF{fsf}-{ql_policy.neural_network.__class__.__name__}-{self.loss.__class__.__name__}\"\n",
|
|
"\n",
|
|
" def __repr__(self) -> str:\n",
|
|
" return self.policy_name\n",
|
|
"\n",
|
|
" def __str__(self) -> str:\n",
|
|
" return self.policy_name\n",
|
|
"\n",
|
|
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
|
|
" results = np.zeros_like(boards, dtype=float)\n",
|
|
" results = torch.from_numpy(results).float()\n",
|
|
" q_learning_boards = np.zeros((boards.shape[0], 2, 8, 8))\n",
|
|
" q_learning_boards[:, 0, :, :] = boards\n",
|
|
" poss_turns = boards == 0 # checks where fields are empty.\n",
|
|
" poss_turns &= binary_dilation(boards == -1, SURROUNDING)\n",
|
|
" turn_possible = np.any(poss_turns, axis=0)\n",
|
|
" for action_x, action_y in itertools.product(range(8), range(8)):\n",
|
|
" if not turn_possible[action_x, action_y]:\n",
|
|
" continue\n",
|
|
" _q_learning_board = q_learning_boards[\n",
|
|
" poss_turns[range(boards.shape[0]), action_x, action_y]\n",
|
|
" ].copy()\n",
|
|
" _q_learning_board[\n",
|
|
" range(_q_learning_board.shape[0]), 1, action_x, action_y\n",
|
|
" ] = 1\n",
|
|
"\n",
|
|
" ql_result = self.neural_network.forward(_q_learning_board)\n",
|
|
" results[poss_turns[:, action_x, action_y], action_x, action_y] = (\n",
|
|
" ql_result.reshape(-1) + 0.1\n",
|
|
" )\n",
|
|
" return results.cpu().detach().numpy()\n",
|
|
"\n",
|
|
" def generate_trainings_data(\n",
|
|
" self, generate_data_size: int\n",
|
|
" ) -> tuple[torch.Tensor, torch.Tensor]:\n",
|
|
" train_boards, train_actions = simulate_game(generate_data_size, (self, self))\n",
|
|
" action_possible = ~np.all(train_actions[:, :] == -1, axis=2)\n",
|
|
" q_leaning_formatted_action = build_symetry_action(train_boards, train_actions)\n",
|
|
" q_rewords = calculate_q_reword(\n",
|
|
" board_history=train_boards,\n",
|
|
" who_won_fraction=self.who_won_fraction,\n",
|
|
" final_score_fraction=self.final_score_fraction,\n",
|
|
" )\n",
|
|
" q_rewords[1::2, :] *= -1\n",
|
|
" if self.symmetry_mode == SymmetryMode.MULTIPLY:\n",
|
|
" new_q_rewords = np.zeros((2, 2, 2) + q_rewords.shape)\n",
|
|
" for i, k, j in itertools.product((0, 1), (0, 1), (0, 1)):\n",
|
|
" new_q_rewords[i, k, j] = q_rewords\n",
|
|
" q_rewords = new_q_rewords\n",
|
|
" action_possible = np.array([action_possible] * 8).reshape(-1)\n",
|
|
"\n",
|
|
" elif self.symmetry_mode == SymmetryMode.BREAK_SEQUENCE:\n",
|
|
" axis1 = np.random.randint(0, high=2, size=SIMULATE_TURNS, dtype=int)\n",
|
|
" axis2 = np.random.randint(0, high=2, size=SIMULATE_TURNS, dtype=int)\n",
|
|
" axis3 = np.random.randint(0, high=2, size=SIMULATE_TURNS, dtype=int)\n",
|
|
" q_leaning_formatted_action = q_leaning_formatted_action[\n",
|
|
" axis1, axis2, axis3, range(SIMULATE_TURNS)\n",
|
|
" ]\n",
|
|
" action_possible = action_possible.reshape(-1)\n",
|
|
"\n",
|
|
" return (\n",
|
|
" torch.from_numpy(\n",
|
|
" q_leaning_formatted_action.reshape(-1, 2, BOARD_SIZE, BOARD_SIZE)[\n",
|
|
" action_possible\n",
|
|
" ]\n",
|
|
" ).float(),\n",
|
|
" torch.from_numpy(q_rewords.reshape(-1, 1)[action_possible]).float(),\n",
|
|
" )\n",
|
|
"\n",
|
|
" def train_batch(self, nr_of_games: int):\n",
|
|
" x_train, y_train = self.generate_trainings_data(nr_of_games)\n",
|
|
" y_pred = self.neural_network.forward(x_train)\n",
|
|
" loss_score = self.loss(y_pred, y_train)\n",
|
|
" self.optimizer.zero_grad()\n",
|
|
" self.loss_history.append(loss_score.item())\n",
|
|
" loss_score.backward()\n",
|
|
" # Update the parameters\n",
|
|
" self.optimizer.step()\n",
|
|
" # generate trainings data\n",
|
|
"\n",
|
|
" def evaluate_model(self, compare_models: list[GamePolicy], nr_of_games: int):\n",
|
|
" result_dict: dict[tuple[str, str], float] = {}\n",
|
|
" eval_copy = copy.copy(self)\n",
|
|
" eval_copy._epsilon = 1\n",
|
|
" for model in compare_models:\n",
|
|
" boards_black, _ = simulate_game(nr_of_games, (eval_copy, model))\n",
|
|
" boards_white, _ = simulate_game(nr_of_games, (model, eval_copy))\n",
|
|
" win_eval_white = calculate_who_won(boards_white)\n",
|
|
" win_eval_black = calculate_who_won(boards_black)\n",
|
|
" result_dict[(model.policy_name, \"final_score\")] = (\n",
|
|
" float(\n",
|
|
" np.mean(\n",
|
|
" calculate_final_evaluation_for_history(boards_black)\n",
|
|
" + (calculate_final_evaluation_for_history(boards_white) * -1)\n",
|
|
" )\n",
|
|
" )\n",
|
|
" * 64\n",
|
|
" )\n",
|
|
" result_dict[(model.policy_name, \"white_win\")] = (\n",
|
|
" np.sum(win_eval_white == -1) / nr_of_games\n",
|
|
" )\n",
|
|
" result_dict[(model.policy_name, \"white_lose\")] = (\n",
|
|
" np.sum(win_eval_white == 1) / nr_of_games\n",
|
|
" )\n",
|
|
" result_dict[(model.policy_name, \"black_win\")] = (\n",
|
|
" np.sum(win_eval_black == 1) / nr_of_games\n",
|
|
" )\n",
|
|
" result_dict[(model.policy_name, \"black_lose\")] = (\n",
|
|
" np.sum(win_eval_black == -1) / nr_of_games\n",
|
|
" )\n",
|
|
"\n",
|
|
" result_dict[(\"loss\", \"mean\")] = np.mean(np.array(self.loss_history))\n",
|
|
" result_dict[(\"loss\", \"min\")] = np.min(np.array(self.loss_history))\n",
|
|
" result_dict[(\"loss\", \"max\")] = np.max(np.array(self.loss_history))\n",
|
|
" self.loss_history = []\n",
|
|
" result_dict[(\"base\", \"base\")] = nr_of_games\n",
|
|
" return result_dict\n",
|
|
"\n",
|
|
" def save(self):\n",
|
|
" filename: str = f\"{self.policy_name}-{len(self.training_results)}\"\n",
|
|
" with open(TRAINING_RESULT_PATH / Path(f\"{filename}.pickle\"), \"wb\") as f:\n",
|
|
" pickle.dump(self.training_results, f)\n",
|
|
" torch.save(\n",
|
|
" self.neural_network.state_dict(),\n",
|
|
" TRAINING_RESULT_PATH / Path(f\"{filename}.torch\"),\n",
|
|
" )\n",
|
|
"\n",
|
|
" def load(self):\n",
|
|
" pickle_files = glob.glob(f\"{TRAINING_RESULT_PATH}/{self.policy_name}-*.pickle\")\n",
|
|
" torch_files = glob.glob(f\"{TRAINING_RESULT_PATH}/{self.policy_name}-*.torch\")\n",
|
|
"\n",
|
|
" assert len(pickle_files) == len(torch_files)\n",
|
|
" if not pickle_files:\n",
|
|
" return\n",
|
|
"\n",
|
|
" pickle_dict = {\n",
|
|
" int(file.split(\"-\")[-1].split(\".\")[0]): file for file in pickle_files\n",
|
|
" }\n",
|
|
" torch_dict = {\n",
|
|
" int(file.split(\"-\")[-1].split(\".\")[0]): file for file in torch_files\n",
|
|
" }\n",
|
|
" pickle_file = pickle_dict[max(pickle_dict.keys())]\n",
|
|
" torch_file = torch_dict[max(torch_dict.keys())]\n",
|
|
"\n",
|
|
" with open(pickle_file, \"rb\") as f:\n",
|
|
" self.training_results = pickle.load(f)\n",
|
|
"\n",
|
|
" self.neural_network.load_state_dict(torch.load(Path(torch_file)))\n",
|
|
"\n",
|
|
" def train(\n",
|
|
" self,\n",
|
|
" epochs: int,\n",
|
|
" batches: int,\n",
|
|
" batch_size: int,\n",
|
|
" eval_batch_size: int,\n",
|
|
" compare_with: list[GamePolicy],\n",
|
|
" save_every_epoch: bool = True,\n",
|
|
" live_plot: bool = True,\n",
|
|
" ) -> pd.DataFrame:\n",
|
|
" max_epochs = epochs + len(self.training_results)\n",
|
|
" assert epochs > 0\n",
|
|
" epoch_pogress = tqdm(range(epochs), unit=\"epoch\")\n",
|
|
" for _ in epoch_pogress:\n",
|
|
" for _ in tqdm(range(batches), unit=\"batch\"):\n",
|
|
" self.train_batch(batch_size)\n",
|
|
" self.training_results.append(\n",
|
|
" self.evaluate_model(compare_with, eval_batch_size)\n",
|
|
" )\n",
|
|
" if save_every_epoch:\n",
|
|
" self.save()\n",
|
|
" if live_plot:\n",
|
|
" self.plot_history(max_epochs)\n",
|
|
" display(epoch_pogress.container)\n",
|
|
" return self.history\n",
|
|
"\n",
|
|
" def plot_history(self, max_epochs: int | None) -> None:\n",
|
|
" if not self.training_results:\n",
|
|
" return None\n",
|
|
" return live_history(self.history, None)\n",
|
|
"\n",
|
|
" @property\n",
|
|
" def history(self) -> pd.DataFrame:\n",
|
|
" if not self.training_results:\n",
|
|
" return pd.DataFrame()\n",
|
|
" pandas_result = pd.DataFrame(self.training_results)\n",
|
|
" pandas_result.columns = pd.MultiIndex.from_tuples(pandas_result.columns)\n",
|
|
" return pandas_result\n",
|
|
"\n",
|
|
"\n",
|
|
"ql_policy1 = QLPolicy(\n",
|
|
" 0.95,\n",
|
|
" neural_network=DQLNet(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=0.8,\n",
|
|
" who_won_fraction=1,\n",
|
|
" final_score_fraction=0,\n",
|
|
")\n",
|
|
"\n",
|
|
"assert copy.copy(ql_policy1) is not ql_policy1\n",
|
|
"assert copy.copy(ql_policy1).neural_network is ql_policy1.neural_network\n",
|
|
"\n",
|
|
"\n",
|
|
"t1, t2 = ql_policy1._internal_policy(get_new_games(2))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Symmetry debug"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 111,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "(70, 10, 8, 8)"
|
|
},
|
|
"execution_count": 111,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"train_boards, train_actions = simulate_game(10, (RandomPolicy(0), RandomPolicy(0)))\n",
|
|
"action_possible = ~np.all(train_actions[:, :] == -1, axis=2)\n",
|
|
"q_leaning_formatted_action = action_to_q_learning_format(train_boards, train_actions)\n",
|
|
"train_boards.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "raw",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"source": [
|
|
"plot_othello_boards(train_boards[:8, 0])\n",
|
|
"plot_othello_boards(q_leaning_formatted_action[0:8, 0, 1])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "raw",
|
|
"metadata": {},
|
|
"source": [
|
|
"ql_policy = QLPolicy(\n",
|
|
" 0.95,\n",
|
|
" neural_network=DQLNet(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=0.8,\n",
|
|
" who_won_fraction=0,\n",
|
|
" final_score_fraction=0,\n",
|
|
")\n",
|
|
"_batch_size = 100\n",
|
|
"%timeit ql_policy.train_batch(_batch_size)\n",
|
|
"%memit ql_policy.train_batch(_batch_size)\n",
|
|
"%timeit ql_policy.evaluate_model([RandomPolicy(0)], _batch_size)\n",
|
|
"%memit ql_policy.evaluate_model([RandomPolicy(0)], _batch_size)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "raw",
|
|
"metadata": {},
|
|
"source": [
|
|
"ql_policy = QLPolicy(\n",
|
|
" 0.95,\n",
|
|
" neural_network=DQLNet(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=0.8,\n",
|
|
" who_won_fraction=1,\n",
|
|
" final_score_fraction=0,\n",
|
|
")\n",
|
|
"ql_policy.policy_name"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 112,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "name 'ql_policy' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
|
|
"\u001B[1;31mNameError\u001B[0m Traceback (most recent call last)",
|
|
"Cell \u001B[1;32mIn[112], line 9\u001B[0m\n\u001B[0;32m 1\u001B[0m ql_policy1 \u001B[38;5;241m=\u001B[39m QLPolicy(\n\u001B[0;32m 2\u001B[0m \u001B[38;5;241m0.92\u001B[39m,\n\u001B[0;32m 3\u001B[0m neural_network\u001B[38;5;241m=\u001B[39mDQL_Simple(),\n\u001B[1;32m (...)\u001B[0m\n\u001B[0;32m 7\u001B[0m final_score_fraction\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1\u001B[39m,\n\u001B[0;32m 8\u001B[0m )\n\u001B[1;32m----> 9\u001B[0m \u001B[43mql_policy1\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpolicy_name\u001B[49m\n",
|
|
"Cell \u001B[1;32mIn[110], line 43\u001B[0m, in \u001B[0;36mQLPolicy.policy_name\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 41\u001B[0m ww \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mwho_won_fraction\u001B[38;5;132;01m:\u001B[39;00m\u001B[38;5;124m.1f\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;241m.\u001B[39mreplace(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m.\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m 42\u001B[0m fsf \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfinal_score_fraction\u001B[38;5;132;01m:\u001B[39;00m\u001B[38;5;124m.1f\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;241m.\u001B[39mreplace(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m.\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m---> 43\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mQL-\u001B[39m\u001B[38;5;132;01m{\u001B[39;00msymmetry_name[\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msymmetry_mode]\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m-G\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mg\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m-WW\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mww\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m-FSF\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mfsf\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m-\u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[43mql_policy\u001B[49m\u001B[38;5;241m.\u001B[39mneural_network\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__class__\u001B[39m\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__name__\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m-\u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mloss\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__class__\u001B[39m\u001B[38;5;241m.\u001B[39m\u001B[38;5;18m__name__\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m\n",
|
|
"\u001B[1;31mNameError\u001B[0m: name 'ql_policy' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"ql_policy1 = QLPolicy(\n",
|
|
" 0.92,\n",
|
|
" neural_network=DQLSimple(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=0.9,\n",
|
|
" who_won_fraction=0,\n",
|
|
" final_score_fraction=1,\n",
|
|
")\n",
|
|
"ql_policy1.policy_name"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy2 = QLPolicy(\n",
|
|
" 0.92,\n",
|
|
" neural_network=DQLSimple(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=0.8,\n",
|
|
" who_won_fraction=0,\n",
|
|
" final_score_fraction=1,\n",
|
|
")\n",
|
|
"ql_policy2.policy_name"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy3 = QLPolicy(\n",
|
|
" 0.92,\n",
|
|
" neural_network=DQLSimple(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=1,\n",
|
|
" who_won_fraction=0,\n",
|
|
" final_score_fraction=1,\n",
|
|
")\n",
|
|
"ql_policy3.policy_name"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy4 = QLPolicy(\n",
|
|
" 0.92,\n",
|
|
" neural_network=DQLSimple(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=0.9,\n",
|
|
" who_won_fraction=1,\n",
|
|
" final_score_fraction=0,\n",
|
|
")\n",
|
|
"ql_policy4.policy_name"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy5 = QLPolicy(\n",
|
|
" 0.95,\n",
|
|
" neural_network=DQLSimple(),\n",
|
|
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
|
|
" gamma=0.9,\n",
|
|
" who_won_fraction=0.3,\n",
|
|
" final_score_fraction=0.3,\n",
|
|
")\n",
|
|
"ql_policy5.policy_name"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "raw",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"source": [
|
|
"probes: int = 1000\n",
|
|
"_ = (\n",
|
|
" calculate_board_branching(simulate_game(probes, (ql_policy, ql_policy))[0]) / probes\n",
|
|
").plot(\n",
|
|
" ylim=(0, 1),\n",
|
|
" title=f\"Branching rate for a QL policy with epsilon={ql_policy.epsilon}\",\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy = ql_policy5"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy.load()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy.plot_history(None)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy.train(100, 10, 1000, 250, [RandomPolicy(0), GreedyPolicy(0)])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"_boards_greedy_l, _ = simulate_game(\n",
|
|
" 500, (RandomPolicy(0), GreedyPolicy(0)), tqdm_on=True\n",
|
|
")\n",
|
|
"_boards_greedy_r, _ = simulate_game(\n",
|
|
" 500, (GreedyPolicy(0), RandomPolicy(0)), tqdm_on=True\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"np.sum(_boards_greedy_l[-1]) / 500, np.sum(_boards_greedy_r[-1]) / 500"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy._epsilon = 1\n",
|
|
"_boards_l, _actions_l = simulate_game(500, (RandomPolicy(0), ql_policy), tqdm_on=True)\n",
|
|
"_boards_r, _actions_r = simulate_game(500, (ql_policy, RandomPolicy(0)), tqdm_on=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"np.sum(_boards_l[-1]) / 500, np.sum(_boards_r[-1]) / 500"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"_boards_policy_l, _ = simulate_game(500, (ql_policy, GreedyPolicy(0)), tqdm_on=True)\n",
|
|
"_boards_policy_r, _ = simulate_game(500, (GreedyPolicy(0), ql_policy), tqdm_on=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"np.sum(_boards_policy_l[-1]) / 500, np.sum(_boards_policy_r[-1]) / 500"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"calculate_final_evaluation_for_history(\n",
|
|
" _boards_policy_l\n",
|
|
").mean() * 64, calculate_final_evaluation_for_history(_boards_policy_r).mean() * 64"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"trainingsdata = simulate_game(1000)"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"trainingsdata[0].shape, trainingsdata[1].shape"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"print(trainingsdata[0][0, 0].shape)"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"trainingsdata[0][:, 0].shape"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"np.max(\n",
|
|
" ql_policy._internal_policy(trainingsdata[0][:, 0].cpu().detach().numpy()),\n",
|
|
" axis=(1, 2),\n",
|
|
").shape"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"boards = trainingsdata[0]\n",
|
|
"scores = trainingsdata[1]\n",
|
|
"\n",
|
|
"\n",
|
|
"@interact(game_start=\"0\")\n",
|
|
"def plot_training(game_start: int) -> None:\n",
|
|
" boards_at_once = 12\n",
|
|
" if not game_start:\n",
|
|
" return\n",
|
|
" game_start = int(game_start)\n",
|
|
" start = game_start * boards_at_once\n",
|
|
" end = start + boards_at_once\n",
|
|
" boards_selected = boards[start:end, 0]\n",
|
|
" scores_selected = scores[start:end, 0]\n",
|
|
" p_scores = np.max(\n",
|
|
" ql_policy._internal_policy(\n",
|
|
" trainingsdata[0][start:end, 0].cpu().detach().numpy()\n",
|
|
" ),\n",
|
|
" axis=(1, 2),\n",
|
|
" ).tolist()\n",
|
|
"\n",
|
|
" scores2 = np.array(\n",
|
|
" [\n",
|
|
" f\"Q:{float(score[0]):2e}@P:{float(score[1]):2e}\"\n",
|
|
" for score in zip(scores_selected, p_scores)\n",
|
|
" ]\n",
|
|
" )\n",
|
|
" plot_othello_boards(\n",
|
|
" boards_selected,\n",
|
|
" scores=scores2,\n",
|
|
" )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ql_policy.history"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"policy_list = [RandomPolicy(0), GreedyPolicy(0), ql_policy1, ql_policy2, ql_policy3]\n",
|
|
"\n",
|
|
"RESULTS_FILE: Final[str] = \"results.pickle\"\n",
|
|
"if not os.path.exists(RESULTS_FILE):\n",
|
|
" policy_list = [RandomPolicy(0), GreedyPolicy(0), ql_policy]\n",
|
|
" result_df = pd.DataFrame(\n",
|
|
" index=[policy.policy_name for policy in policy_list],\n",
|
|
" columns=[policy.policy_name for policy in policy_list],\n",
|
|
" )\n",
|
|
"else:\n",
|
|
" result_df = pd.read_pickle(RESULTS_FILE)\n",
|
|
"nr_of_games = 20\n",
|
|
"for policy1, policy2 in tqdm(list(itertools.product(policy_list, policy_list))):\n",
|
|
" if not pd.isna(result_df.at[policy1.policy_name, policy2.policy_name]):\n",
|
|
" continue\n",
|
|
" result_dict = {}\n",
|
|
" boards_black, _ = simulate_game(nr_of_games, (policy1, policy2))\n",
|
|
" win_eval_black = calculate_who_won(boards_black)\n",
|
|
" result_dict[\"final_score\"] = float(\n",
|
|
" np.mean(calculate_final_evaluation_for_history(boards_black))\n",
|
|
" )\n",
|
|
" result_dict[\"win\"] = np.sum(win_eval_black == 1) / nr_of_games\n",
|
|
" result_dict[\"lose\"] = np.sum(win_eval_black == -1) / nr_of_games\n",
|
|
" result_df.at[policy1.policy_name, policy2.policy_name] = result_dict\n",
|
|
" result_df.to_pickle(RESULTS_FILE)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"result_df.applymap(lambda x: x[\"win\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"result_df.applymap(lambda x: x[\"final_score\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"raise NotImplementedError"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"boards_and_actions, score = ql_policy.generate_trainings_data(1)\n",
|
|
"print(boards_and_actions.shape)\n",
|
|
"print(score.shape)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"boards_and_actions.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"plot_othello_boards(boards_and_actions[:8, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"score[:8, 0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"plot_othello_boards(boards1[:60, 0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Train a model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Sources\n",
|
|
"\n",
|
|
"* Game rules and example board images [https://en.wikipedia.org/wiki/Reversi](https://en.wikipedia.org/wiki/Reversi)\n",
|
|
"* Game rules and example game images [https://de.wikipedia.org/wiki/Othello_(Spiel)](https://de.wikipedia.org/wiki/Othello_(Spiel))\n",
|
|
"* Game strategy examples [https://de.wikipedia.org/wiki/Computer-Othello](https://de.wikipedia.org/wiki/Computer-Othello)\n",
|
|
"* Image for 8 directions [https://www.researchgate.net/journal/EURASIP-Journal-on-Image-and-Video-Processing-1687-5281](https://www.researchgate.net/journal/EURASIP-Journal-on-Image-and-Video-Processing-1687-5281)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import sys\n",
|
|
"\n",
|
|
"\n",
|
|
"def sizeof_fmt(num, suffix=\"B\"):\n",
|
|
" \"\"\"by Fred Cirera, https://stackoverflow.com/a/1094933/1870254, modified\"\"\"\n",
|
|
" for unit in [\"\", \"Ki\", \"Mi\", \"Gi\", \"Ti\", \"Pi\", \"Ei\", \"Zi\"]:\n",
|
|
" if abs(num) < 1024.0:\n",
|
|
" return \"%3.1f %s%s\" % (num, unit, suffix)\n",
|
|
" num /= 1024.0\n",
|
|
" return \"%.1f %s%s\" % (num, \"Yi\", suffix)\n",
|
|
"\n",
|
|
"\n",
|
|
"for name, size in sorted(\n",
|
|
" ((name, sys.getsizeof(value)) for name, value in list(locals().items())),\n",
|
|
" key=lambda x: -x[1],\n",
|
|
")[:20]:\n",
|
|
" print(\"{:>30}: {:>8}\".format(name, sizeof_fmt(size)))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.10.8"
|
|
},
|
|
"toc-autonumbering": true,
|
|
"toc-showcode": false
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|