README.md

👽 RL Reading Group

⛄️ Last updated on June, 2022.

Use this HackMD link to collaboratively viewing and edit this page.

• Running Notes
• Paper List
• Jamboard
• Schedules
• Resources

🕹 Schedule

TBD.

🕹 Resources

Courses

• CMPUT 653 Theoretical Foundations of Reinforcement Learning by Csaba Szepesvári at the University of Alberta.
• CS 598 Statistical Reinforcement Learning by Nan Jiang at UIUC.
• CS 6789: Foundations of Reinforcement Learning by Wen Sun at Cornell University and Sham Kakade at University of Washington, with a book named Reinforcement Learning: Theory and Algorithms.

Seminars and Workshops

• RL Theory Seminars, and its YouTube page.
• Program on Theory of Reinforcement Learning at Simons Institute.
• OpenAI's Key Papers in Deep RL and a summary, 2018.
• Bootcamp on Theory of Reinforcement Learning at Simons Institute, 2020.
• Offline Reinforcement Learning Tutorial at NeurIPS 2020.
• Offline Reinforcement Learning Workshop at NeurIPS 2020.
• Statistical Foundations of Reinforcement Learning at COLT 2021.
• Workshop on Reinforcement Learning Theory at ICML 2021.
• Workshop on Multi-Agent Reinforcement Learning and Bandit Learning at Simons Institute, 2021.