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

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A reinforcement-learning algorithm that combines a tree-based search with a learned model achieves superhuman performance in high-performance planning and visually complex domains, without any knowledge of their underlying dynamics. MuZero, which was first introduced in a preliminary paper in 2019, masters Go, chess, shogi and Atari without needing to be told the rules, thanks to […]