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 37: Observational Overfitting, Hindsight Credit Assignment, and Procedurally Generated Environment Suite

Aman's AI Journal • Papers List

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

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

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

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

Applied Sciences, Free Full-Text

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

RL Weekly