Maia Chess
Capturing human style in chess
Maia’s goal is to play the
human move not necessarily the best move. As a result, Maia has a more human-like style than previous engines, matching moves played by human players in online games over 50% of the time. During training, Maia is given a position that occurred in a real human game and tries to predict which move was made. After seeing hundreds of millions of positions, Maia accurately captures how people at different levels play chess. Maia is an AlphaZero/Leela-like deep learning framework that learns from online human games instead of self-play. Maia is trained on millions of games, and tries to predict the human move played in each position seen.