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.

Acquisition of Chess Knowledge in AlphaZero

DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge

DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge

Checkmate: how we mastered the AlphaZero cover, Science

Game of Chess Papers With Code

Acquisition of Chess Knowledge in AlphaZero

What is reinforcement learning? - University of York

Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost

PDF] Acquisition of chess knowledge in AlphaZero

Neural Networks - Chessprogramming wiki

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

Chess - History - LessWrong

PDF] Acquisition of chess knowledge in AlphaZero

How AlphaZero Learns Chess