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.
| ISBN-13: | 9781846286896 |
| ISBN-10: | 1846286891 |
| Publisher: | Springer |
| Publication date: | 2007 |
| Edition description: | 2007 |
| Pages: | 207 |
| Product dimensions: | Height: 9.21 Inches, Length: 6.14 Inches, Weight: 1.05601423498 Pounds, Width: 0.5 Inches |
| Author: | Hyeong Soo Chang |
| Language: | en |
| Binding: | Hardcover |
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