Reinforcement Learning / Fall 2026
Updates
-
2026-10-16
New Lecture is up: Markov Decision Process [slides] -
2026-10-09
New Lecture is up: Multi-Armed Bandits [slides] [KDD20 Tutorial] -
2026-09-20
New Lecture is up: Basic Concepts in Reinforcement Learning [slides] -
2026-09-18
New Lecture is up: Introduction [Course policy] [Intro2RL] -
2026-09-17
We have included the explanations of our bonus point policy in each assignment, which help you better understand how the points are added up.
-
2026-09-17
As this is an undergraduate-level course, we will be mostly delivering the course content using lecture-driven discussions. We will cover both the classical and most recent research developments on the broad topics of reinforcement learning. You can find the syllabus of our course here.
-
2026-09-17
Welcome to THU40241012 Reinforcement Learning! We will start our first class on Friday, September 18, 2026. Should you have any question regarding the logistics of this course, please feel free to shot us an email. Look forward to meeting each one of you!
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.
You can use this QR code to join our WeChat group for notifcations and group discussions, please set your in-group alias to ‘班号+姓名’, e.g., ‘计33-王宏宁’。
Time: Friday, 3:20pm-4:55pm, 六教A207.
Office Hours: In order to make our discussion prepared and more effective, please request a meeting 24 hours ahead via email or wechat.
1. Instructor, Monday, 4pm-5pm, FIT 3-520;
2. TA, Monday, 7pm-8pm, FIT 4-504.
