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. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dim...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
London :
Springer London
2013.
Cham : Springer Nature |
| Schriftenreihe: | Communications and Control Engineering
|
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
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, 9781447150213 • Simulation-Based Algorithms for Markov Decision Processes, Texte imprimé, 9781447150237 • Simulation-Based Algorithms for Markov Decision Processes, Texte imprimé, 9781447159902 |
Inhaltsangabe:
- Markov Decision Processes
- Multi-stage Adaptive Sampling Algorithms
- Population-based Evolutionary Approaches
- Model Reference Adaptive Search
- On-line Control Methods via Simulation
- Game-theoretic Methods via Simulation.