- GO code is available in goban.py. It respects the rules provided here.
- Vanilla MCTS player is available in mctsPlayer.py.
- AlphaZero player is available in mctsPlayer.py, the model can be found in alphazeroModel.py. Missing computational power to train it on a 19x19 goban. The player is not optimized at all and maybe still bugged.
joblib==0.14.1
scipy==1.4.1
matplotlib==3.1.2
numpy==1.16.2
tensorflow==2.1.0
It is possible to simulate game using play.py.
goban = Goban()
player1, player2 = AlphaZeroPlayer(
goban._WHITE, goban.get_board_size(), "saves/test1/best/model"), MCTSPlayer(goban._BLACK, goban.get_board_size())
play(player1, player2, goban)To train the AlphaZero player, simply launch from the root of the project:
python trainMcts.py --name model_name