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

Acquisition of Chess Knowledge in AlphaZero

Deep Learning - Chessprogramming wiki

Acquisition of chess knowledge in AlphaZero

Neural Networks - Chessprogramming wiki

AlphaZero on Carlsen-Caruana Games 1-8

Acquisition of Chess Knowledge in AlphaZero

Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost

Acquisition of Chess Knowledge in AlphaZero – arXiv Vanity

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

arxiv-sanity

Acquisition of chess knowledge in AlphaZero

How AlphaZero Learns Chess

Acquisition of Chess Knowledge in AlphaZero

PDF] Acquisition of chess knowledge in AlphaZero