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Welcome to the chess-alpha-zero wiki!

What I'm doing on this fork:

• Input: Positions are 12x8x8 binary feature planes, for last 8 positions. 5 auxiliary 8x8 constant planes for 4 castling flags and 50-move rule for total of 101x8x8. Side to move is always on the bottom of the board.
• Adjudicating games by material to speed up training.
• Training on the material value and messing around with loss weights
• Multithreaded MCTS: Still CPU/lock bound in Python

TODO:

• Implement MCTS in C++

Goals:

• Get a model that beats the materialistic MCTS agent