Markov Decision Processes and Reinforcement Learning

This successor to Martin L. Puterman's widely cited 1994 book on Markov decision processes covers their application reinforcement learning, an area of enormous growth. Providing worked examples, algorithms, and simulations, it is ideal for graduate students, researchers, and professionals in operations research and machine learning.