Reinforcement Learning / Fall 2022


  • 2022-12-16
    New Lecture is up: Offline Reinforcement Learning
  • 2022-12-05

    Our course project presentation is scheduled on December 12, Monday, 10:30am-1:00pm EST, at Rice 340. Each team is required to give the presentation in person. And we will provide light refreshment to help you enjoy the presentations and discussions.

  • 2022-11-28
    New Lecture is up: Deep Reinforcement Learning [slides]
  • 2022-11-22
    New Lecture is up: Approximation Methods [slides]
  • 2022-11-17
    New Assignment released: [MP #3 - Policy Gradient method]
  • 2022-11-01
    New Lecture is up: Policy Gradient Methods [slides]
  • 2022-10-22
    New Assignment released: [ICLR2023 Review Assignment]

Course Description

This is an undergraduate-level course on reinforcement learning. We will discuss the foundations in reinforcement learning, starting from multi-armed bandits, to Markov Decision Process, planning, on-policy and off-policy learning, and its recent development under the context of deep learning.

Register to our Piazza course forum to get course notifications via email.

Time: Tuesday/Thursday, 9:30am-10:45am, both in-person in Thornton Hall E303 and online via Zoom. You can find our Zoom meeting links in collab.
Office Hours: You can request the Zoom links for our office hours via email, but please make an appointment beforehand (at least two hours in advance). You can also request in-person meetings if you feel that would make our discussions more effective.
1. Instructor, Tuesday/Thursday, 4pm-5pm;
2. TA, Wednesday/Friday, 2pm-3pm.


Teaching Assistant