Handbook of Learning and Approximate Dynamic Programming

Explore the intricacies of decision-making with the Handbook of Learning and Approximate Dynamic Programming, published by John Wiley & Sons Inc in 2004. This comprehensive hardback edition spans 672 pages and delves into the various facets of Approximate Dynamic Programming (ADP), a concept also known as reinforcement learning (RL), adaptive critics (AC), and neuro-dynamic programming (NDP).

This essential resource offers a dynamic programming approach to tackle decision and control problems in nonlinear dynamic systems, ensuring optimal solutions even in stochastic or uncertain environments. Perfect for researchers and practitioners alike, this handbook serves as a vital guide to understanding and applying ADP techniques effectively. Enhance your knowledge and skills in this evolving field with this indispensable reference.