Reinforcement Learning and Optimal Control for Autonomous Systems II

Catalog description

This is the second part of a 2-semester course providing a full overview, assuming minimal prior background, of modern control methods from a learning and optimization perspective. In the second part of the course, we covers specialized topics in learning and control such as search algorithms, imitation learning, and specialized RL topics like multi-agent RL and offline RL. The course uses frequent competitions as projects to motivate the material, with students making an increasingly capable controller for a simulated robot over the course of the class. | Prerequisites: ROB-GY 6323 or advisor approval