DeepMind's MuZero teaches itself how to win at Atari, chess, shogi, and Go
Descrição
In a preprint paper, researchers at Alphabet's DeepMind detail MuZero, an algorithm that effectively teaches itself how to play Atari and board games.
Julian Schrittwieser – MuZero, Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Weekly News 11/25/19 – Knockout Tournament, Chess AI Developments
From AlphaGo to MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
MuZero: The Walkthrough (Part 3/3), by David Foster, Applied Data Science
From AlphaGo to MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
DeepMind's AlphaZero beats state-of-the-art chess and shogi game engines
DeepMind's AI agent MuZero could turbocharge - BBC News
PDF) Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Mastering Atari, Go, chess and shogi by planning with a learned model
MuZero: Mastering Go, chess, shogi and Atari without rules - Google DeepMind
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