Simulation-based Algorithms for Markov Decision Processes

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Chang, Hyeong Soo (Autor), Fu, Michael C. (Autor), Hu, Jiaqiao (Autor), Marcus, Steven I. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Communications and Control Engineering,
Temas:
Operations research.
Control engineering.
System theory.
Control theory.
Management science.
Probabilities.
Algorithms.
Operations Research and Decision Theory.
Control and Systems Theory.
Systems Theory, Control .
Operations Research, Management Science .
Probability Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Markov Decision Processes
  • Multi-stage Adaptive Sampling Algorithms
  • Population-based Evolutionary Approaches
  • Model Reference Adaptive Search
  • On-line Control Methods via Simulation.

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