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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
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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
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
Memory-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
Memory for Lean Reinforcement Learning.pdf
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
2008.06495] Joint Policy Search for Multi-agent Collaboration with Imperfect Information
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
UC Berkeley Reward-Free RL Beats SOTA Reward-Based RL
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
EfficientZero: Mastering Atari Games with Limited Data (Machine Learning Research Paper Explained)
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Mastering Atari Games with Limited Data – arXiv Vanity
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