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

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Last updated 16 junho 2024
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
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
Mastering Atari Games with Limited Data – arXiv Vanity
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
RL Weekly 35: Escaping Local Optimas in Distance-based Rewards and Choosing the Best Teacher
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Johan Gras (@gras_johan) / X
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Memory for Lean Reinforcement Learning.pdf
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
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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
Atari 2600 Kangaroo Benchmark (Atari Games)
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
Applied Sciences, Free Full-Text
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