Continuous-Time Markov Decision Processes
Guo, Xianping, Hernández-Lerma, Onésimo
Produktnummer:
18fe9b172ac60e473cae0a78af47d57e17
| Autor: | Guo, Xianping Hernández-Lerma, Onésimo |
|---|---|
| Themengebiete: | Markov chain Markov decision process Markov decision processes controlled Markov chains operations research stochastic control stochastic dynamic programming |
| Veröffentlichungsdatum: | 01.10.2009 |
| EAN: | 9783642025464 |
| Sprache: | Englisch |
| Seitenzahl: | 234 |
| Produktart: | Gebunden |
| Verlag: | Springer Berlin |
| Untertitel: | Theory and Applications |
Produktinformationen "Continuous-Time Markov Decision Processes"
Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.
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