This course aim to present a math-lite introduction to reinforcement learning. We will cover (1) the basics of Markov Decision Processes (2) primary algorithmic paradigms including model-based, value-based and policy-based learning (3) modern challenges and open problems in RL.
SPRG 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A1 |
|
CGS 527 |
TR 2:00 pm-3:15 pm |
Course syllabus viewable here: https://zhangxz1123.github.io/DS543.html |
SPRG 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
|
FLR 121 |
W 10:10 am-11:00 am |
|
SPRG 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A3 |
|
FLR 121 |
W 11:15 am-12:05 pm |
|
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
