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

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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
Kristian Kersting
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) Tensor Implementation of Monte-Carlo Tree Search for Model-Based Reinforcement Learning
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Kristian Kersting
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Home
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
Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) Alpha-T: Learning to Traverse over Graphs with An AlphaZero-inspired Self-Play Framework
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
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