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.

Johan Gras (@gras_johan) / X

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

UC Berkeley Reward-Free RL Beats SOTA Reward-Based RL

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

State of AI Report 2023 - Air Street Capital

PDF) A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions

PDF) On Reinforcement Learning for the Game of 2048

Applied Sciences, Free Full-Text

Kristian Kersting

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2008.06495] Joint Policy Search for Multi-agent Collaboration with Imperfect Information

ICLR 2022