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
- Crosslist: This course is offered by the EE department but may qualify for major credit in ISE. To register, enroll in EE 556.
|31081R||048||Discussion||4:00-4:50pm||Friday||18 of 34||KAP144|
|31008R||048||Lecture||11:00-12:20pm||Tue, Thu||18 of 34||Rahul Jain||SSL150||PDF (101819 KB)|