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.

Applied Sciences, Free Full-Text

Memory for Lean Reinforcement Learning.pdf

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

Memory for Lean Reinforcement Learning.pdf

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

Memory for Lean Reinforcement Learning.pdf

Mastering Atari Games with Limited Data – arXiv Vanity

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

PDF) Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems

Applied Sciences, Free Full-Text

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

All Categories - Miles Brundage

RL Weekly