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

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

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

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

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

Mastering Atari, Go, chess and shogi by planning with a learned model

Simplifying MuZero in Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model — Andrew Silva

AlphaZero - Chessprogramming wiki

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

Shedding Light on Chess with the Help of Computers

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

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

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

AlphaZero: Shedding new light on the grand games of chess, shogi and Go _哔哩哔哩_bilibili