Prerequisites: ENEE324, ENEE460 and MATH461; or students who have taken courses with comparable content may contact the ECE Department.
Foundations and recent advances in decision-making under uncertainty, with focus on reinforcement learning, data-driven control, and game theory. Methods for making decisions in stochastic, adversarial, strategic, and dynamic environments with state and feedback loops. Topics will be motivated by applications in various disciplines within and outside engineering, including machine learning, robotics, and economics.