Dynamic Optimization

Catalog description

This course surveys the use of optimization (especially optimal control) to design behavior. We will explore ways to represent policies, including hand-designed parametric functions, basic functions, tables, and trajectory libraries. We will also explore algorithms to create policies including parameter optimization and trajectory optimization (first and second order gradient methods, sequential quadratic programming, random search methods, evolutionary algorithms, etc.).