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.

deep learning – Severely Theoretical

Memory for Lean Reinforcement Learning.pdf

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

PDF) Tensor Implementation of Monte-Carlo Tree Search for Model-Based Reinforcement Learning

EfficientZero: Mastering Atari Games with Limited Data (Machine Learning Research Paper Explained)

AlphaGo/AlphaGoZero/AlphaZero/MuZero: Mastering games using progressively fewer priors

Mastering Atari Games with Limited Data – arXiv Vanity

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

Mastering Atari Games with Limited Data – arXiv Vanity

Memory for Lean Reinforcement Learning.pdf

Memory-based Reinforcement Learning