AlphaZero: Shedding new light on chess, shogi, and Go - Google DeepMind

In late 2017 we introduced AlphaZero, a single system that taught itself from scratch how to master the games of chess, shogi (Japanese chess), and Go, beating a world-champion program in each case. We were excited by the preliminary results and thrilled to see the response from members of the chess community, who saw in AlphaZero’s games a ground-breaking, highly dynamic and “unconventional” style of play that differed from any chess playing engine that came before it.

Is DeepMind's AlphaGo Zero Really A Scientific Breakthrough?

Alphazero :: Computer-bridge1

Anna Rudolf Visits The AlphaZero Headquarters

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PDF] Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero

AlphaZero paper peer-reviewed is available · Issue #2069 · leela-zero/leela-zero · GitHub

AlphaZero: DeepMind's AI Works Smarter, not Harder

AlphaZero learns human concepts

Chessable

AlphaZero: The AI from Google which mastered Chess in 4 hours, by University of Toronto Machine Intelligence Team

AlphaZero: Shedding new light on the grand games of chess, shogi and Go

Is DeepMind's AlphaGo Zero Really A Scientific Breakthrough?

AlphaGo learns Chess, pwns Stockfish, Page 2