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RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari

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Descrição
In this issue, we look at MuZero, DeepMind’s new algorithm that learns a model and achieves AlphaZero performance in Chess, Shogi, and Go and achieves state-of-the-art performance on Atari. We also look at Safety Gym, OpenAI’s new environment suite for safe RL.
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Memory-based Reinforcement Learning
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
All Categories - Miles Brundage
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly 9: Sample-efficient Near-SOTA Model-based RL, Neural MMO, and Bottlenecks in Deep Q-Learning : r/reinforcementlearning
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
AlphaGo/AlphaGoZero/AlphaZero/MuZero: Mastering games using progressively fewer priors
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
deep learning – Severely Theoretical
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Kristian Kersting
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