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# Otello Q-Learning
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# Reversi Deep Learning Implementation
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A Deep Learning implementation of the game Otello aka. reversi.
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This is a Jupyter implementation only because it was requested in such a format for a class in my master’s degree. Enjoy the read or ignore it.
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This repository hosts a project for the course "Deep Learning" as part of my studies in Applied AI at [FH-SWF](https://fh-swf.de). It showcases a Deep Learning model trained to play the classic game Reversi (Othello) implemented in a Jupyter Notebook.
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Please note that the notebook contains interactive decorators that can only be used when executed as a jupyter notebook.
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## Installation
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## Dependencies
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1. Clone the repository: `git clone https://git.horstenkamp.eu/Philipp/reversi.git`
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2. Install dependencies: `pip install -r requirements.txt`
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The project was developed with the following dependencies:
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## Usage
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```
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aiofiles==22.1.0
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aiosqlite==0.18.0
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anyio==3.6.2
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argon2-cffi==21.3.0
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argon2-cffi-bindings==21.2.0
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arrow==1.2.3
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asttokens==2.2.1
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attrs==22.2.0
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Babel==2.11.0
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backcall==0.2.0
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beautifulsoup4==4.11.2
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black==21.12b0
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blackcellmagic==0.0.3
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bleach==6.0.0
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certifi==2022.12.7
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cffi==1.15.1
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cfgv==3.3.1
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charset-normalizer==3.0.1
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click==8.1.3
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cloudpickle==2.2.1
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colorama==0.4.6
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comm==0.1.2
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contourpy==1.0.7
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cycler==0.11.0
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debugpy==1.6.6
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decorator==5.1.1
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defusedxml==0.7.1
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distlib==0.3.6
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exceptiongroup==1.1.0
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executing==1.2.0
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fastjsonschema==2.16.2
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filelock==3.9.0
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fonttools==4.38.0
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fqdn==1.5.1
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gitdb==4.0.10
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GitPython==3.1.31
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gym==0.26.2
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gym-notices==0.0.8
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identify==2.5.18
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idna==3.4
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iniconfig==2.0.0
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ipykernel==6.21.2
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ipython==8.10.0
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ipython-genutils==0.2.0
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ipywidgets==8.0.4
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isoduration==20.11.0
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isort==5.12.0
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jedi==0.18.2
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Jinja2==3.1.2
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joblib==1.2.0
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json5==0.9.11
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jsonpointer==2.3
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jsonschema==4.17.3
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jupyter==1.0.0
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jupyter-console==6.5.1
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jupyter-events==0.5.0
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jupyter-server-mathjax==0.2.6
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jupyter-ydoc==0.2.2
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jupyter_client==8.0.2
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jupyter_core==5.2.0
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jupyter_server==2.3.0
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jupyter_server_fileid==0.6.0
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jupyter_server_terminals==0.4.4
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jupyter_server_ydoc==0.6.1
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jupyterlab==3.6.1
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jupyterlab-git==0.41.0
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jupyterlab-pygments==0.2.2
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jupyterlab-widgets==3.0.5
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jupyterlab_server==2.19.0
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KDEpy==1.1.0
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kiwisolver==1.4.4
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line-profiler==4.0.2
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MarkupSafe==2.1.2
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matplotlib==3.7.0
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matplotlib-inline==0.1.6
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memory-profiler==0.61.0
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mistune==2.0.5
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mypy-extensions==1.0.0
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nbclassic==0.5.1
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nbclient==0.7.2
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nbconvert==7.2.9
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nbdime==3.1.1
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nbformat==5.7.3
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nest-asyncio==1.5.6
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nodeenv==1.7.0
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notebook==6.5.2
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notebook_shim==0.2.2
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numpy==1.24.2
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packaging==23.0
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pandas==1.5.3
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pandocfilters==1.5.0
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parso==0.8.3
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pathspec==0.11.0
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pexpect==4.8.0
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pickleshare==0.7.5
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Pillow==9.4.0
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platformdirs==3.0.0
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plotly==5.13.0
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pluggy==1.0.0
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pre-commit==3.0.4
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prometheus-client==0.16.0
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prompt-toolkit==3.0.36
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psutil==5.9.4
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ptyprocess==0.7.0
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pure-eval==0.2.2
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pycparser==2.21
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Pygments==2.14.0
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pyparsing==3.0.9
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pyrsistent==0.19.3
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pytest==7.2.1
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python-dateutil==2.8.2
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python-json-logger==2.0.6
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pytz==2022.7.1
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pywin32==305
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pywinpty==2.0.10
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PyYAML==6.0
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pyzmq==25.0.0
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qtconsole==5.4.0
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QtPy==2.3.0
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requests==2.28.2
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rfc3339-validator==0.1.4
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rfc3986-validator==0.1.1
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scipy==1.10.0
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seaborn==0.12.2
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Send2Trash==1.8.0
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setuptools-scm==7.1.0
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six==1.16.0
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smmap==5.0.0
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sniffio==1.3.0
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soupsieve==2.4
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stack-data==0.6.2
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tenacity==8.2.1
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terminado==0.17.1
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tinycss2==1.2.1
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tomli==1.2.3
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torch==1.13.1
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torchaudio==0.13.1
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torchvision==0.14.1
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tornado==6.2
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tqdm==4.64.1
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traitlets==5.9.0
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typing_extensions==4.5.0
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uri-template==1.2.0
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urllib3==1.26.14
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virtualenv==20.19.0
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wcwidth==0.2.6
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webcolors==1.12
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webencodings==0.5.1
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websocket-client==1.5.1
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widgetsnbextension==4.0.5
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y-py==0.5.5
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ypy-websocket==0.8.2
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```
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Open the Jupyter Notebook to interact with the game and explore the model's strategy.
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## Contributing
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Feel free to explore the code and provide feedback.
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## Contact
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For any queries, reach out to [Philipp](https://github.com/Philipp).
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