Simulation-based algorithms for Markov decision processes
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. It is well-known that many real-world problems modeled by MDPs have huge state and/or action spaces, leading to the n...
Gardado en:
| Auteurs principaux: | , , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
London :
Springer London
2007.
Cham : Springer Nature |
| Series: | Communications and Control Engineering
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| Acceso en liña: | 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: | • Simulation-based Algorithms for Markov Decision Processes, Texte imprimé, 9781849966436 • Simulation-based Algorithms for Markov Decision Processes, Texte imprimé, 9781848005983 • Simulation-based algorithms for Markov decision processes, Hyeong Soo Chang ... [et al.], London, Springer, 2007, 1 vol. (XVII_189 p.), Communications and control engineering, 978-1-8462-8689-6 |