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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Chang, Hyeong Soo (Author), Fu, Michael C. (Author), Hu, Jiaqiao (Author), Marcus, Steven I. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: London : Springer London : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Communications and Control Engineering,
Subjects:
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.
Online Access:Texto Completo
Table of Contents:
  • 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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