Simulation-based Algorithms for Markov Decision Processes

by Hyeong Soo Chang

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. This book brings the state-of-the-art research together for the first time. It provides practical modeling methods for many real-world problems with high dimensionality or complexity which have not hitherto been treatable with Markov decision processes.

207 pages, Hardcover

First published March 1, 2007