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.

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Memory for Lean Reinforcement Learning.pdf

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Kristian Kersting

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

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

Atari 2600 Kangaroo Benchmark (Atari Games)

Mastering Atari Games with Limited Data – arXiv Vanity

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

PDF) Mastering Atari Games with Limited Data

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

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

Aman's AI Journal • Papers List