Markov Decision Processes: Discrete Stochastic Dynamic Programming

Puterman, Martin L.

ISBN 10: 0471727822 ISBN 13: 9780471727828

Edit� par Wiley-Interscience (edition 1), 2005

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Synopsis :

An up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. Concentrates on infinite-horizon discrete-time models. Discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Also covers modified policy iteration, multichain models with average reward criterion and sensitive optimality. Features a wealth of figures which illustrate examples and an extensive bibliography.

� propos de l?auteur:

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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

D�tails bibliographiques

Titre : Markov Decision Processes: Discrete ...
�diteur : Wiley-Interscience (edition 1)
Date d'�dition : 2005
Reliure : Paperback
Etat : Good
Edition : 1.

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Markov Decision Processes: Discrete Stochastic Dynamic Programming

Puterman, Martin L.

Edit� par Wiley-Interscience, 2005

ISBN 10 : 0471727822 ISBN 13 : 9780471727828

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Markov Decision Processes: Discrete Stochastic Dynamic Programming

Puterman, Martin L.

Edit� par Wiley-Interscience, 2005

ISBN 10 : 0471727822 ISBN 13 : 9780471727828

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Markov Decision Processes: Discrete Stochastic Dynamic Programming

Puterman, Martin L.

Edit� par Wiley-Interscience, 2005

ISBN 10 : 0471727822 ISBN 13 : 9780471727828

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Markov Decision Processes Discrete Stochastic Dynamic Programming

Puterman, Martin L.

Edit� par John Wiley & Sons, Incorporated, 2005

ISBN 10 : 0471727822 ISBN 13 : 9780471727828

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Markov Decision Processes (Paperback)

Martin L. Puterman

Edit� par John Wiley & Sons Inc, New York, 2005

ISBN 10 : 0471727822 ISBN 13 : 9780471727828

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Paperback. Etat : new. Paperback. 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 This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9780471727828

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Markov Decision Processes (Paperback)

Martin L. Puterman

Edit� par John Wiley & Sons Inc, New York, 2005

ISBN 10 : 0471727822 ISBN 13 : 9780471727828

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Paperback. Etat : new. Paperback. 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 This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9780471727828

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Markov Decision Processes (Paperback)

Martin L. Puterman

Edit� par John Wiley & Sons Inc, New York, 2005

ISBN 10 : 0471727822 ISBN 13 : 9780471727828

Neuf Paperback

Vendeur : CitiRetail, Stevenage, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Paperback. Etat : new. Paperback. 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 This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9780471727828

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