A complete and accessible introduction to the real-world applications of approximate dynamic programming With the growing levels of sophistication in modern-day

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern compl

This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support appro

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in

This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control inp