
- 256 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Constrained Markov Decision Processes
About this book
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.
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Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Preface
- Biography
- Dedication
- Table of Contents
- 1 Introduction
- I Part One: Finite MDPs
- II Part Two: Infinite MDPs
- III Part Three: Asymptotic methods and approximations
- Appendix: Convergence of probability measures
- References
- List of Symbols and Notation
- Index
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Yes, you can access Constrained Markov Decision Processes by Eitan Altman in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.