# Conflicts: # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-10.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-10.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-11.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-11.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-12.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-12.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-13.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-13.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-14.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-14.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-15.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-15.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-16.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-16.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-17.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-17.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-18.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-18.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-19.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-19.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-20.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-20.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-21.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-21.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-22.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-22.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-23.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-23.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-24.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-24.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-25.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-25.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-3.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-3.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-4.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-4.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-5.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-5.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-6.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-6.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-7.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-7.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-8.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-8.torch # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-9.pickle # training_data/QL-M-G08-WW00-FSF10-DQLSimple-MSELoss-9.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-10.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-10.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-11.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-11.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-12.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-12.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-13.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-13.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-14.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-14.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-15.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-15.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-16.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-16.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-17.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-17.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-18.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-18.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-19.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-19.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-20.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-20.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-21.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-21.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-3.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-3.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-4.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-4.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-5.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-5.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-6.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-6.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-7.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-7.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-8.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-8.torch # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-9.pickle # training_data/QL-M-G09-WW00-FSF10-DQLSimple-MSELoss-9.torch
reversi
A Deep Learning implementation of the game Reversi aka. Otello. 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.
Comments from Gawron
- Use Zobrist hashing for symetry
Description
A Deep Learning implementation of the game Reversi aka. Otello.
This is a Jupyter implementation only because it was requested in such a format for a class in my masters degree.
Languages
Jupyter Notebook
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