Machine Learning and System Control

3 Credits

Focuses on an area of machine learning for solving decision-making problems when there is uncertainty in sensing and control. Relies on recent advances in artificial intelligence and machine learning. Studies new data-driven methods for the control design of autonomous systems in unknown environments using reinforcement learning . Theory, algorithms, and Python/Matlab implementations of reinforcement learning and their applications to solve control problems for unmanned vehicles and robots.