Planning and Control

Planning and Control

Explore planning and control concepts in this comprehensive lecture. Dive into state transition equations, numerical examples of various actions, and PyTorch implementations of physical scenarios. Learn about the Kelley-Bryson algorithm, control with final and cumulative costs, and optimal control examples. Gain insights from practical demonstrations and quizzes throughout the session, enhancing your understanding of deep learning applications in planning and control systems.