EE5241
EE 5241 - Optimal Control and Reinforcement Learning (3 Cr.) Online may be available
Electrical and Computer Engineering (11122)
TIOT - College of Science and Engineering
EE 5241 - Optimal Control and Reinforcement Learning (3 Cr.) Online may be available
Course description
(Prereq-CSE grad student or instructor consent) A wide variety of control problems such as "walk from home to school via the shortest path" or "maintain a constant temperature" can be modeled using optimization. This course will survey a variety of methods for modeling and solving optimal control problems. In particular, we will cover numerical optimal control, model predictive control, system identification, dynamic programming, and reinforcement learning. Examples from robotics and aerospace systems will be given.
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Requirements
000356
Typically offered term(s)
Every Fall