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.

Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost

PDF] Acquisition of chess knowledge in AlphaZero

Has every possible game of chess been played by now? - Quora

PDF] Acquisition of chess knowledge in AlphaZero

AlphaZero on Carlsen-Caruana Games 1-8

arxiv-sanity

Acquisition of chess knowledge in AlphaZero

Acquisition of Chess Knowledge in AlphaZero

Acquisition of Chess Knowledge in AlphaZero, McGrath et al 2021 {DM} : r/reinforcementlearning

Human opening preferences vs. AlphaZero opening preferences : r/chess

Chess - Wikipedia

My Chessable Course Is Out! - by Nate Solon - Zwischenzug

Compilation pipeline of the CrazyAra engine.

Neural Networks - Chessprogramming wiki