Reinforcement Learning Short Course

This short course is made based on materials in Sutton and Barto (2018), Puterman (1994), DeepMind & UCL RL lecture series and some research papers. It was recently used in Umich, HKU, Tsinghua University, NKU, SWUFE, ECNU, SDU, ZJU and RUC. A longer version of the course is available in LSE.

Slides and other materials are available in a separate folder for each lecture.

Lectures

1. Foundations of Reinforcement Learning
2. Planning and Learning
3. Q-Learning and Beyond
4. Policy- and Model-based Learning
5. Offline Reinforcement Learning

Roadmap

Shield:

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