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.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dim...

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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 : Imprint: Springer, 2013.
Edition:2nd ed. 2013.
Series:Communications and Control Engineering,
Subjects:
Engineering.
Operations research.
Decision making.
Algorithms.
System theory.
Management science.
Probabilities.
Control engineering.
Control.
Systems Theory, Control.
Probability Theory and Stochastic Processes.
Operations Research, Management Science.
Algorithm Analysis and Problem Complexity.
Operation Research/Decision Theory.
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