Figure 1 from Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Figure 1: Training AlphaZero for 700,000 steps. Elo ratings were computed from evaluation games between different players when given one second per move. a Performance of AlphaZero in chess, compared to 2016 TCEC world-champion program Stockfish. b Performance of AlphaZero in shogi, compared to 2017 CSA world-champion program Elmo. c Performance of AlphaZero in Go, compared to AlphaGo Lee and AlphaGo Zero (20 block / 3 day) (29). - "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm"

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Giraffe: Using Deep Reinforcement Learning to Play Chess – arXiv Vanity

MuZero - Wikipedia

MuZero figures out chess, rules and all

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Mastering chess and shogi by self-play with a general reinforcement learning algorithm

Figure 2 from Giraffe: Using Deep Reinforcement Learning to Play Chess

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Electronics, Free Full-Text

AlphaZero paper discussion (Mastering Go, Chess, and Shogi) • Life In 19x19

PDF] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

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

AlphaZero, Lecture 82 (Part 2)