COMP4901Z: Reinforcement Learning

Fall 2025, Dept. of Computer Science and Engineering (CSE), The Hong Kong University of Science and Technology (HKUST)

Instructor: Long Chen
Class Time & Location:

Email: longchen@ust.hk (For course-related queries, please use the subject starting from [COMP4901Z])
Office Hour:

Teaching Assistant: Yanghao Wang (ywangtg@connect.ust.hk) and Wei Chen (wchendb@connect.ust.hk)
TA Office Hour:
For those who have enrolled the COMP4901 course, if you want to get the recorded videos for absent classes, you can direct sent emails to the TA.

Reading Lists

• Asynchronous Methods for Deep Reinforcement Learning. In ICML, 2016.

Acknowledgements

This course was inspired by and/or uses reserouces from the following courses:

Reinforcement Learning by David Silver, DeepMind, 2015.
CS285: Deep Reinforcement Learning by Sergey Levine, UC Berkeley, 2023.
CS234: Reinforcement Learning by Emma Brunskill, Stanford University, 2024.
10-403: Deep Reinforcement Learning by Katerina Fragkiadaki, Carnegie Mellon University, 2024.
Special Topics in AI: Foundations of Reinforcement Learning by Yuejie Chi, Carnegie Mellon University, 2023.
CS 6789: Foundations of Reinforcement Learning by Wen Sun and Sham Kakade, Cornell Univeristy.
CS224R: Deep Reinforcement Learning by Chelsea Finn, Stanford University, 2023.
DeepMind x UCL RL Lecture Series by Hado van Hasselt, DeepMind, 2021.