Overview
- To the best of our knowledge, it is the first book completely devoted to continuous-time Markov Decision Processes
- It studies continuous-time MDPs allowing unbounded transition rates, which is the case in most applications
- It is thus distinguished from other books that contain chapters on the continuous-time case
- Includes supplementary material: sn.pub/extras
Part of the book series: Stochastic Modelling and Applied Probability (SMAP, volume 62)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.
Similar content being viewed by others
Keywords
Table of contents (12 chapters)
-
Front Matter
-
Back Matter
Reviews
From the reviews:
“The book consists of 12 chapters. … this is the first monograph on continuous-time Markov decision process. … This is an important book written by leading experts on a mathematically rich topic which has many applications to engineering, business, and biological problems. … scholars and students interested in developing the theory of continuous-time Markov decision Processes or working on their applications should have this book.” (E. A. Feinberg, Mathematical Reviews, Issue 2011 b)Authors and Affiliations
About the authors
Onésimo Hernández-Lerma received the Science and Arts National Award from the Government of MEXICO in 2001, an honorary doctorate from the University of Sonora in 2003, and the Scopus Prize from Elsevier in 2008. Xianping Guo received the He-Pan-Qing-Yi Best Paper Award from the 7th Word Congress on Intelligent Control and Automation in 2008.
Bibliographic Information
Book Title: Continuous-Time Markov Decision Processes
Book Subtitle: Theory and Applications
Authors: Xianping Guo, Onésimo Hernández-Lerma
Series Title: Stochastic Modelling and Applied Probability
DOI: https://doi.org/10.1007/978-3-642-02547-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-02546-4Published: 01 October 2009
Softcover ISBN: 978-3-642-26072-8Published: 14 March 2012
eBook ISBN: 978-3-642-02547-1Published: 18 September 2009
Series ISSN: 0172-4568
Series E-ISSN: 2197-439X
Edition Number: 1
Number of Pages: XVIII, 234
Topics: Optimization, Probability Theory and Stochastic Processes, Operations Research, Management Science