The recent success of Reinforcement Learning and related methods can be attributed to several key factors. First, it is driven by reward signals obtained throug
Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This b
Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a w
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in