Markov Decision Processes With Their Applications
Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs,...
Guardat en:
| Autors principals: | , |
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| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer US
2008.
Cham : Springer Nature |
| Col·lecció: | Advances in Mechanics and Mathematics
14 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Markov Decision Processes With Their Applications, Texte imprimé, 9780387369501 • Markov Decision Processes with Their Applications, Texte imprimé, 9780387515465 • Markov Decision Processes with Their Applications, Texte imprimé, 9781441942388 |