AlphaZero Explained

AlphaZero is a reinforcement learning agent for playing board games such as Go, chess, and shogi.

AlphaZero Chess: How It Works, What Sets It Apart, and What It Can Tell Us, by Maxim Khovanskiy

The Case for AlphaZero: Openings and Pawn Progression — The Yale Logos

Has the Alpha Zero chess program been made to play the Evans Gambit against itself, in an attempt to discover whether that gambit, with best play, is theoretically sound or whether White

AlphaGo Zero Tutorial Part 3 - Neural Network Architecture

P] Keras implementation of AlphaZero for chess : r/MachineLearning

Deep bidirectional intelligence: AlphaZero, deep IA-search, deep IA-infer, and TPC causal learning, Applied Informatics

Training AlphaZero for 700,000 steps. Elo ratings were computed from

MuZero, AlphaZero, and AlphaDev: Optimizing computer systems - Google DeepMind

AlphaZero Chess: How It Works, What Sets It Apart, and What It Can Tell Us, by Maxim Khovanskiy

Electronics, Free Full-Text