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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...

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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
Language:English
Published: London : Springer London : Imprint: Springer, 2013.
Edition:2nd ed. 2013.
Series:Communications and Control Engineering,
Subjects:
Engineering.
Computer software.
Systems theory.
Distribution (Probability theory).
Operations research.
Control.
Systems Theory, Control.
Probability Theory and Stochastic Processes.
Operations Research, Management Science.
Algorithm Analysis and Problem Complexity.
Operation Research/Decision Theory.
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-5022-0

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https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-5022-0

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