Continuous-time Markov decision processes : theory and applications
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 populati...
Gorde:
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2009. |
| Saila: | Stochastic Modelling and Applied Probability
62 |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Description d'après consultation du 30 mars 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Continuous-time Markov decision processes, theory and applications, Xianping Guo, Onésimo Hernández-Lerma, 2009, Heidelberg, Springer, 1 vol. (XVII-231 p.), Stochastic Modelling and Applied Probability, 978-3-642-02546-4 • Continuous-Time Markov Decision Processes, Texte imprimé, 9783642025488 • Continuous-Time Markov Decision Processes, Texte imprimé, 9783642260728 |
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| 008 | 100125q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN139954805 | ||
| 020 | |a 9783642025471 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519.6 | ||
| 084 | |a 90C40. 2000 | ||
| 084 | |a 93E20. 2000 | ||
| 084 | |a 90B05. 2000 | ||
| 100 | 1 | |a Guo, Xianping. | |
| 245 | 1 | 0 | |a Continuous-time Markov decision processes : |b theory and applications |c by Xianping Guo, Onésimo Hernández-Lerma. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Stochastic Modelling and Applied Probability |v 62 |x 2197-439X | |
| 500 | |a Description d'après consultation du 30 mars 2012 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a and Summary Continuous-Time Markov Decision Processes Average Optimality for Finite Models Discount Optimality for Nonnegative Costs Average Optimality for Nonnegative Costs Discount Optimality for Unbounded Rewards Average Optimality for Unbounded Rewards Average Optimality for Pathwise Rewards Advanced Optimality Criteria Variance Minimization Constrained Optimality for Discount Criteria Constrained Optimality for Average Criteria | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 650 | |a Distribution (théorie des probabilités) | ||
| 650 | |a Recherche opérationnelle | ||
| 650 | |a Processus stochastiques | ||
| 700 | 1 | |a Hernández-Hernández, Onésimo, |d 1946-...., |c mathématicien. |4 aut | |
| 700 | 1 | |a Hernández-Lerma, Onésimo. |4 aut | |
| 776 | 0 | |0 148068170 |t Continuous-time Markov decision processes |o theory and applications |f Xianping Guo, Onésimo Hernández-Lerma |d 2009 |c Heidelberg |n Springer |p 1 vol. (XVII-231 p.) |s Stochastic Modelling and Applied Probability |z 978-3-642-02546-4 | |
| 776 | 0 | |t Continuous-Time Markov Decision Processes |b Texte imprimé |z 9783642025488 | |
| 776 | 0 | |t Continuous-Time Markov Decision Processes |b Texte imprimé |z 9783642260728 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-02547-1 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-MXFXQJBG-6 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747841950 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-02547-1 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750859512 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-02547-1 |z Accès INSA CVL | |
| 997 | |0 941924 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||