yashonwu/DRL-Resources

Some notes on DRL resources.

Deep Reinforcement Learning Resources

Some DRL Resources

Surveys

• Awesome Reinforcement Learning
• Deep Reinforcement Learning survey
• Awesome Explainable Reinforcement Learning

Courses

• CS234: Reinforcement Learning Winter 2023 at Stanford
• CS 285: Deep Reinforcement Learning at UC Berkeley
• Introduction to Reinforcement Learning with David Silver at DeepMind
• Deep Reinforcement Learning by Shusen Wang

Tutorials

• HuggingFace Deep RL Course
• Open AI Spinning Up in Deep RL
• NeurIPS 2020 Tutorial Offline Reinforcement Learning: From Algorithms to Practical Challenges

Books

• Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
• Deep Reinforcement Learning: Fundamentals, Research and Applications by Hao Dong, et al.
• Deep Reinforcement Learning, a textbook by Aske Plaat

Tools

• Stable Baselines
• rllab
• Gymnasium

Talks

• Sergey Levine - Understanding the World Through Action @ UCL DARK

Blogs

• 离线强化学习系列博客专栏
• 自监督强化学习:主要介绍基于表征学习路线的自监督强化学习, 天津大学深度强化学习实验室
• 离线强化学习 (Offline RL), 天津大学深度强化学习实验室
• Domain Randomization for Sim2Real Transfer, by Lilian Weng
• The Multi-Armed Bandit Problem and Its Solutions, by Lilian Weng
• A (Long) Peek into Reinforcement Learning, by Lilian Weng
• Policy Gradient Algorithms, by Lilian Weng
• Meta Reinforcement Learning, by Lilian Weng
• Curriculum for Reinforcement Learning, by Lilian Weng
• Exploration Strategies in Deep Reinforcement Learning, by Lilian Weng