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

Por um escritor misterioso

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
Summaries from arXiv e-Print archive on
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Applied Sciences, Free Full-Text
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
RL Weekly 9: Sample-efficient Near-SOTA Model-based RL, Neural MMO, and Bottlenecks in Deep Q-Learning : r/reinforcementlearning
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
PDF) On Reinforcement Learning for the Game of 2048
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Applied Sciences, Free Full-Text
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
2008.06495] Joint Policy Search for Multi-agent Collaboration with Imperfect Information
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
All Categories - Miles Brundage
RL Weekly 36: AlphaZero with a Learned Model achieves SotA in Atari
Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication
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
Mastering Atari Games with Limited Data – arXiv Vanity
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