AA203 Optimal and Learning-Based Control | Spring 2026
19 lectures, 24 hr 38 min in all
These lectures are from the spring 2026 graduate course AA203 Optimal and Learning-Based Control. The course provides basic solution techniques for optimal control and dynamic optimization problems, such as those found in work with rockets, robotic arms, autonomous cars, option pricing, and macroeconomics. Learners develop an understanding of the theoretic and implementation aspects of various techniques, including dynamic programming, calculus of variations, model predictive control, and robot motion planning.
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