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 35: Escaping Local Optimas in Distance-based Rewards and Choosing the Best Teacher

RL Weekly

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Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication

PDF) OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

Uncategorized – Severely Theoretical

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PDF) Alpha-T: Learning to Traverse over Graphs with An AlphaZero-inspired Self-Play Framework

PDF) Mastering Atari Games with Limited Data

Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication

RL Weekly 9: Sample-efficient Near-SOTA Model-based RL, Neural MMO, and Bottlenecks in Deep Q-Learning : r/reinforcementlearning

PDF) OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

Mastering Atari Games with Limited Data – arXiv Vanity

Memory for Lean Reinforcement Learning.pdf