RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Por um escritor misterioso
Last updated 04 fevereiro 2025
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.
2008.06495] Joint Policy Search for Multi-agent Collaboration with Imperfect Information
AlphaGo/AlphaGoZero/AlphaZero/MuZero: Mastering games using progressively fewer priors
PDF) Alpha-T: Learning to Traverse over Graphs with An AlphaZero-inspired Self-Play Framework
Kristian Kersting
Memory-based Reinforcement Learning
Tags
Memory-based Reinforcement Learning
PDF) Tensor Implementation of Monte-Carlo Tree Search for Model-Based Reinforcement Learning
UC Berkeley Reward-Free RL Beats SOTA Reward-Based RL
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