DeepMind's MuZero teaches itself how to win at Atari, chess, shogi, and Go
Por um escritor misterioso
Last updated 07 novembro 2024
In a preprint paper, researchers at Alphabet's DeepMind detail MuZero, an algorithm that effectively teaches itself how to play Atari and board games.
MuZero: Mastering Go, chess, shogi and Atari without rules - Google DeepMind
Will AlphaZero become smarter and smarter forever, if it plays chess against itself for unlimited times? - Quora
Google develops an AI that can learn both chess and Pac-Man
A computer crushed us at Pokémon. Can it do anything else? - The Atlantic
Weekly News 11/25/19 – Knockout Tournament, Chess AI Developments
DeepMind's AlphaZero beats state-of-the-art chess and shogi game engines
MuZero: The Walkthrough (Part 1/3), by David Foster, Applied Data Science
From AlphaGo to MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
N] No rules, no problem: DeepMind's MuZero masters games while learning how to play them : r/MachineLearning
papers
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's AI agent MuZero could turbocharge - BBC News
DeepMind's AI agent MuZero could turbocharge - BBC News
Your guide to artificial intelligence
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