DeepMind's MuZero teaches itself how to win at Atari, chess, shogi, and Go
Por um escritor misterioso
Last updated 21 março 2025

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

Alphazero :: Computer-bridge1
MuZero: Mastering Go, chess, shogi and Atari without rules - Google DeepMind

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

Mastering Atari, Go, chess and shogi by planning with a learned model
MuZero: Mastering Go, chess, shogi and Atari without rules - Google DeepMind
MuZero: Mastering Go, chess, shogi and Atari without rules - Google DeepMind
MuZero: Mastering Go, chess, shogi and Atari without rules - Google DeepMind
AlphaZero and MuZero - Google DeepMind

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

DeepMind's AI agent MuZero could turbocharge - BBC News
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

DeepMind AI teaches itself chess from scratch in four hours, proceeds to beat previous champion

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

MuZero figures out chess, rules and all
AlphaZero: Shedding new light on chess, shogi, and Go - Google DeepMind
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