A CNN autoencoder that encodes the entire chessboard state improves MLP prediction of relative piece values by 16% MAE reduction to roughly 0.65 pawns using 12 million Stockfish-labeled positions from grandmaster games.
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PAWN: Piece Value Analysis with Neural Networks
A CNN autoencoder that encodes the entire chessboard state improves MLP prediction of relative piece values by 16% MAE reduction to roughly 0.65 pawns using 12 million Stockfish-labeled positions from grandmaster games.