Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.
Maia-2: A unified model for human-ai alignment in chess
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Toward Modeling Player-Specific Chess Behaviors
Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.