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A reproduction of Alphago Zero in "Mastering the game of Go without human knowledge"

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alphago_zero

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.)

train

Run train.sh

play

Playing with the best trained model.

python play_game.py

TODO

Implement resignation threshold in self play part.

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A reproduction of Alphago Zero in "Mastering the game of Go without human knowledge"

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  • Python 99.8%
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