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Simulation-based Algorithms for Markov Decision Processes

Download or Read eBook Simulation-based Algorithms for Markov Decision Processes PDF written by Hyeong Soo Chang and published by Springer Science & Business Media. This book was released on 2007-05-01 with total page 202 pages. Available in PDF, EPUB and Kindle.
Simulation-based Algorithms for Markov Decision Processes
Author :
Publisher : Springer Science & Business Media
Total Pages : 202
Release :
ISBN-10 : 9781846286902
ISBN-13 : 1846286905
Rating : 4/5 (02 Downloads)

Book Synopsis Simulation-based Algorithms for Markov Decision Processes by : Hyeong Soo Chang

Book excerpt: 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.


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