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.
Aman's AI Journal • Papers List
Warm-start Reinforcement Learning Mobility Science Automation and Inclusion Center
RL Weekly
Mastering Atari Games with Limited Data – arXiv Vanity
Memory for Lean Reinforcement Learning.pdf
RL Weekly 9: Sample-efficient Near-SOTA Model-based RL, Neural MMO, and Bottlenecks in Deep Q-Learning
Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication
RL Weekly
PDF) Tensor Implementation of Monte-Carlo Tree Search for Model-Based Reinforcement Learning
ICLR 2022
Memory for Lean Reinforcement Learning.pdf
Mastering Atari Games with Limited Data – arXiv Vanity
All Categories - Miles Brundage
RL Weekly 32: New SotA Sample Efficiency on Atari and an Analysis of the Benefits of Hierarchical RL
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