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Constrained Markov Decision Processes

By (author) Eitan Altman





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| book description |

This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs. Unlike the single controller case considered in many other books, the author considers a single controller with several objectives, such as minimizing delays and loss, probabilities, and maximization of throughputs. It is desirable to design a controller that minimizes one cost objective, subject to inequality constraints on other cost objectives. This framework describes dynamic decision problems arising frequently in many engineering fields. A thorough overview of these applications is presented in the introduction. The book is then divided into three sections that build upon each other.

| product details |



Normally shipped | Enquiries only
Publisher | Taylor & Francis Ltd
Published date | 24 Dec 2021
Language |
Format | Digital (delivered electronically)
Pages | 256
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-3514-5823-8
Readership Age |
BISAC | mathematics / probability & statistics / general


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