Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Delve into the cutting-edge world of control systems with "Reinforcement Learning and Approximate Dynamic Programming for Feedback Control" by Frank L. Lewis. Published by John Wiley & Sons Inc in 2013, this comprehensive hardback edition spans an impressive 648 pages.

This pivotal book explores the intersections of reinforcement learning (RL) and adaptive dynamic programming (ADP), showcasing their vital roles in the advancement of feedback control systems. As a significant area of research within science and engineering, RL and ADP offer transformative insights into managing modern complex systems.

Whether you are an industry professional, a researcher, or a student, this book serves as an essential resource, guiding you through the latest methodologies in technology and engineering. Enhance your understanding of these dynamic topics and discover how they can be applied to real-world challenges.