Introduction to optimal control, adaptive control and reinforcement learning

Abstract

In this book, we show how to use RL techniques to unify optimal control and adaptive control. By this we mean that a novel class of adaptive control structures will be developed that learn the solutions of optimal control problems in real time by measuring data along the system trajectories online. We call these optimal adaptive controllers. These optimal adaptive controllers have structures based on the actor-critic learning architecture.