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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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.
Imprint | Springer London |
Country of origin | United Kingdom |
Series | Communications and Control Engineering |
Release date | October 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2007 |
Authors | Hyeong Soo Chang, Michael C. Fu, Jiaqiao Hu, Steven I. Marcus |
Dimensions | 235 x 155 x 11mm (L x W x T) |
Format | Paperback |
Pages | 189 |
Edition | Softcover reprint of hardcover 1st ed. 2007 |
ISBN-13 | 978-1-84996-643-6 |
Barcode | 9781849966436 |
Categories | |
LSN | 1-84996-643-5 |