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Acquisition of Chess Knowledge in AlphaZero

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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.
Acquisition of Chess Knowledge in AlphaZero
Acquisition of Chess Knowledge in AlphaZero
Acquisition of Chess Knowledge in AlphaZero
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Acquisition of chess knowledge in AlphaZero
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