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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
Kristian Kersting
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
Summaries from arXiv e-Print archive on
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
State of AI Report 2023 - Air Street Capital
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
Superhuman Performance on the Atari 100K Benchmark: The Power of BBF - A New Value-Based RL Agent from Google DeepMind, Mila, and Universite de Montreal - MarkTechPost
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
Johan Gras (@gras_johan) / X
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions
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