Simulation-based Algorithms for Markov Decision Processes [electronic resource] by Hyeong Soo Chang, Michael C. Fu, Jiaqiao Hu, Steven I. Marcus.

Show other versions (2)

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...

Full description

Bibliographic Details
Uniform Title:Communications and Control Engineering, 2197-7119
Main Authors: Chang, Hyeong Soo (Author)
Fu, Michael C. (Author)
Hu, Jiaqiao (Author)
Marcus, Steven I. (Author)
Corporate Author: SpringerLink (Online service)
Language:English
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.
Online Access:
Springer English/International eBooks 2007 - Full Set: 2007 (Springer Link)
Format: Electronic eBook

System Under Maintenance

Our Library Management System is currently under maintenance.

Holdings and item availability information is currently unavailable. Please accept our apologies for any inconvenience this may cause and contact us for further assistance:

Please contact Reference and Discovery Services via their Contact Form or call them directly at: 517-353-8700 for assistance.

Online Access

Springer English/International eBooks 2007 - Full Set: 2007 (Springer Link)