Part 1: Foundations of probabilities, system, and optimal control
Part 2: Exact algorithms for optimal decision-making and control
Part 3: Approximate algorithms
Part 4: Data-driven optimal decision-making and control, and applications
Control Systems and Reinforcement Learning by Sean Meyn, Cambridge University Press, 2022
Homework assignments, slides, summaries available on Moodle
Homework exercises of project-type nature
An oral exam, during which the homework will be discussed