DeepMind's MuZero teaches itself how to win at Atari, chess, shogi, and Go

In a preprint paper, researchers at Alphabet's DeepMind detail MuZero, an algorithm that effectively teaches itself how to play Atari and board games.

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

A historical tale of DeepMind's games

From AlphaGo to MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Computer chess - Wikipedia

Supplementary information for “The AI Revolution: what it means for you”

DeepMind's AI agent MuZero could turbocharge - BBC News

DeepMind Introduces MuZero That Achieves Superhuman Performance In Tasks Without Learning Their Underlying Dynamics : r/artificial

AlphaGo - Google DeepMind

Want to Know the AI Lingo? Learn the Basics, From NLP to Neural Networks - WSJ

N] No rules, no problem: DeepMind's MuZero masters games while learning how to play them : r/MachineLearning

How does the computer program AlphaZero determine which move to make in chess? Is there any insight that can be gained from looking at its strategy? - Quora

MuZero figures out chess, rules and all

MuZero: Mastering Go, chess, shogi and Atari without rules - Google DeepMind

AI Journey — from chess to software development!, by Damian Mazurek

Weekly News 11/25/19 – Knockout Tournament, Chess AI Developments