Acquisition of Chess Knowledge in AlphaZero

Researchers at DeepMind and Google Brain, in collaboration with Grandmaster Vladimir Kramnik, are working to explore what chess can teach us about AI and vice versa. Using Chessbase’s extensive historical chess data along with the AlphaZero neural network chess engine and components from Stockfish 8, they ask: what can we learn about chess history by studying AlphaZero, how does AlphaZero learn to evaluate positions, and is AlphaZero computing anything human-like? Their paper, “Acquisition of Chess Knowledge in AlphaZero”, has just been published.

Zeta Alpha on X: Recommended read: Acquisition of Chess Knowledge in AlphaZero. Wonderful analysis of representation learning in chess by Thomas McGrath + @DeepMind & @GoogleAI all star team + @32gcfhkmm paper

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Acquisition of chess knowledge in AlphaZero