This project forked from sanghyunyi/alphago_zero
A reproduction of Alphago Zero in "Mastering the game of Go without human knowledge"
License: MIT License
A reproduction of Alphago Zero in "Mastering the game of Go without human knowledge" using Tensorflow 1.3.
This code is based on 'https://github.com/Rochester-NRT/RocAlphaGo'.
Now the board size is 5. (You can configure the size by changing board_size value.)
Run train.sh
Playing with the best trained model.
python play_game.py
Implement resignation threshold in self play part.
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Some thing interesting about visualization, use data art
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