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

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Last updated 28 dezembro 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
Denis Yarats on X: Impressive improvements in data-efficiency on Atari 100K, shattering our month old SOTA results from DrQ! Glad to see that some of our ideas ended up being useful in
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
RL Weekly 9: Sample-efficient Near-SOTA Model-based RL, Neural MMO, and Bottlenecks in Deep Q-Learning
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
ICLR 2022
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
Aman's AI Journal • Papers List
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
PDF) OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
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