Markov Decision Processes

Discrete Stochastic Dynamic Programming

AvMartin L. Puterman

Häftad, Engelska, 2005

Del 594 i serien Wiley Series in Probability and Statistics

1 787 kr

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E-bok

2 040 kr

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2 040 kr

Beskrivning

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists."This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential."—Zentralblatt fur Mathematik". . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes."—Journal of the American Statistical Association

Produktinformation

Utgivningsdatum:2005-03-03
Mått:155 x 234 x 36 mm
Vikt:948 g
Format:Häftad
Språk:Engelska
Serie:Wiley Series in Probability and Statistics
Antal sidor:684
Förlag:John Wiley & Sons Inc
ISBN:9780471727828

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

Martin L. Puterman, PhD, is Advisory Board Professor of Operations and Director of the Centre for Operations Excellence at The University of British Columbia in Vancouver, Canada.

Innehållsförteckning

Preface. 1. Introduction.2. Model Formulation.3. Examples.4. Finite-Horizon Markov Decision Processes.5. Infinite-Horizon Models: Foundations.6. Discounted Markov Decision Problems.7. The Expected Total-Reward. Criterion.8. Average Reward and Related Criteria.9. The Average Reward Criterion-Multichain and Communicating Models.10. Sensitive Discount Optimality.11. Continuous-Time Models.Afterword.Notation.Appendix A. Markov Chains.Appendix B. Semicontinuous Functions.Appendix C. Normed Linear Spaces.Appendix D. Linear Programming.Bibliography.Index.

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Markov Decision Processes

Discrete Stochastic Dynamic Programming

AvMartin L. Puterman

Häftad, Engelska, 2005

Del 594 i serien Wiley Series in Probability and Statistics

1 787 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

E-bok

2 040 kr

E-bok

2 040 kr

Beskrivning

Produktinformation

Utgivningsdatum:2005-03-03
Mått:155 x 234 x 36 mm
Vikt:948 g
Format:Häftad
Språk:Engelska
Serie:Wiley Series in Probability and Statistics
Antal sidor:684
Förlag:John Wiley & Sons Inc
ISBN:9780471727828

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

Martin L. Puterman, PhD, is Advisory Board Professor of Operations and Director of the Centre for Operations Excellence at The University of British Columbia in Vancouver, Canada.

Innehållsförteckning

Preface. 1. Introduction.2. Model Formulation.3. Examples.4. Finite-Horizon Markov Decision Processes.5. Infinite-Horizon Models: Foundations.6. Discounted Markov Decision Problems.7. The Expected Total-Reward. Criterion.8. Average Reward and Related Criteria.9. The Average Reward Criterion-Multichain and Communicating Models.10. Sensitive Discount Optimality.11. Continuous-Time Models.Afterword.Notation.Appendix A. Markov Chains.Appendix B. Semicontinuous Functions.Appendix C. Normed Linear Spaces.Appendix D. Linear Programming.Bibliography.Index.