ISE 615 Reinforcement Learning and Control Theory

Units: 4
Terms Offered: FaSp

Modern stochastic control theory, recent developments in reinforcement learning theory, game theory, mean-field analysis and reinforcement learning in practice.
Recommended Preparation: Linear algebra on the level of MATH 225; optimization methods on the level of ISE 630; probability and statistics on the level of ISE 220 and ISE 225; programming on the level of ITP 115 or ISE 150. Knowledge of machine learning and advanced optimization methods is useful but not required.
Instruction Mode: Lecture
Grading Option: Letter