Lecture

Dynamic Programming: Optimal Control

Description

This lecture covers the application of Dynamic Programming (DP) in solving optimal control problems. It discusses the optimality of DP, the machine replacement problem, time-homogeneous Markov chains, control objectives, and policies. The lecture also delves into the linear quadratic control problem, stability of uncontrolled systems, and recursive solutions for optimal policies.

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