Simulation-based Algorithms for Markov Decision Processes

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
Main Authors: Chang, Hyeong Soo (Author), Hu, Jiaqiao (Author), Fu, Michael C. (Author), Marcus, Steven I. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London, 2007.
Series:Communications and Control Engineering,
Subjects:
Business.
Operations research.
Decision making.
Algorithms.
System theory.
Management science.
Probabilities.
Control engineering.
Business and Management.
Operation Research/Decision Theory.
Control.
Systems Theory, Control.
Operations Research, Management Science.
Probability Theory and Stochastic Processes.
Algorithm Analysis and Problem Complexity.
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