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...
Kaydedildi:
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
London :
Springer London
2007.
Cham : Springer Nature |
| Seri Bilgileri: | Communications and Control Engineering
|
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
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 |
İçindekiler:
- Markov Decision Processes
- Multi-stage Adaptive Sampling Algorithms
- Population-based Evolutionary Approaches
- Model Reference Adaptive Search
- On-line Control Methods via Simulation.