Constrained Markov Decision Processes: Stochastic Modeling (Stochastic Modeling Ser. #7)
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- Synopsis
- 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.
- Copyright:
- 1999
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 256 Pages
- ISBN-13:
- 9781351458238
- Related ISBNs:
- 9781315140223, 9780849303821
- Publisher:
- CRC Press
- Date of Addition:
- 12/08/23
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.