Maia (human-like chess engine) VS Lichess bots || 1900 ELO || ChessBotX 1.5.9w

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MAIA CHESS
A human-like neural network chess engine

From the Developers:

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.

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.

We trained 9 versions of Maia, one for each Elo milestone between 1100 and 1900. Maia 1100 was only trained on games between 1100-rated players, and so on. Each version learned from 12 million human games, and learns how chess is typically played at its specific level.

Maia is particularly good at predicting human mistakes. The move-matching accuracy of any model increases with the quality of the move, since good moves are easier to predict. But even when players make horrific blunders, Maia correctly predicts the exact blunder they make around 25% of the time. This ability to understand how and when people are likely to make mistakes can make Maia a very useful learning tool.

Maia github: https://github.com/CSSLab/maia-chess