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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Chang, Hyeong Soo, Fu, Michael C., 19..- (Tekijä), Hu, Jiaqiao (Tekijä), Marcus, Steven I. (Tekijä)
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: London : Springer London 2007.
Cham : Springer Nature
Sarja:Communications and Control Engineering
Linkit:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Huomautus: 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

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