Electrical and Computer Engineering 556:
Stochastic Systems and Reinforcement Learning (4.0 units)
Stochastic system models, Dynamic programming, Linear quadratic control, Kalman filtering and estimation, System identification, approximate dynamic programming methods, adaptive control, reinforcement and online learning.
- Prerequisite: EE 503
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31296D | 048 | Lecture | 2:00-3:50pm | Tue, Thu | 25 of 40 | Rahul Jain | GFS116 & ONLINE | PDF (108471 KB) |   |
| 30491R | 048 | Discussion | 9:00-9:50am | Thursday | 25 of 40 | Rahul Jain | SLH102 & ONLINE | |