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Markov Decision Processes and Stochastic Positional Games: Optimal Control on Complex Networks - Couverture rigide
Synopsis
This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average and total expected discounted reward payoffs. In addition, it focuses on a new class of stochastic games: stochastic positional games that extend and generalize the classic deterministic positional games. It presents new algorithmic results on the suitable implementation of quasi-monotonic programming techniques. Moreover, the book presents applications of positional games within a class of multi-objective discrete control problems and hierarchical control problems on networks.
Given its scope, the book will benefit all researchers and graduate students who are interested in Markov theory, control theory, optimization and games.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Prof. Dmitrii Lozovanu is head of the department of Applied Mathematics at the Faculty of Mathematics and Computer Science, Moldova State University, Chisinau, Moldova. His main research interests are in discrete optimization, game theory, optimal control and stochastic decision-making processes.
Prof. Stefan Pickl is a Professor of Operations Research at Bundeswehr University Munich, Germany. He studied mathematics, electrical engineering, and philosophy at the TU Darmstadt, Germany and EPFL Lausanne, Switzerland. He is also associated with the Centre for the Advanced Study of Algorithms (CASA), USA and Center for Network Innovation and Experimentation (CENETIX), USA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Markov Decision Processes and Stochastic Positional Games: Optimal Control on Complex Networks (International Series in Operations Research & Management Science, 349)
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Markov Decision Processes and Stochastic Positional Games : Optimal Control on Complex Networks
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Markov Decision Processes and Stochastic Positional Games : Optimal Control on Complex Networks
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Markov Decision Processes and Stochastic Positional Games : Optimal Control on Complex Networks
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Springer, 2024
ISBN 10 : 3031401794
ISBN 13 : 9783031401794
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Couverture rigide
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Markov Decision Processes and Stochastic Positional Games : Optimal Control on Complex Networks
Edité par
Springer, 2024
ISBN 10 : 3031401794
ISBN 13 : 9783031401794
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Markov Decision Processes and Stochastic Positional Games: Optimal Control on Complex Networks (International Series in Operations Research & Management Science, 349)
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Markov Decision Processes and Stochastic Positional Games (Hardcover)
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Springer International Publishing AG, Cham, 2024
ISBN 10 : 3031401794
ISBN 13 : 9783031401794
Neuf
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Hardcover. Etat : new. Hardcover. This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average and total expected discounted reward payoffs. In addition, it focuses on a new class of stochastic games: stochastic positional games that extend and generalize the classic deterministic positional games. It presents new algorithmic results on the suitable implementation of quasi-monotonic programming techniques. Moreover, the book presents applications of positional games within a class of multi-objective discrete control problems and hierarchical control problems on networks. Given its scope, the book will benefit all researchers and graduate students who are interested in Markov theory, control theory, optimization and games. This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average and total expected discounted reward payoffs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031401794
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Markov Decision Processes and Stochastic Positional Games
ISBN 10 : 3031401794
ISBN 13 : 9783031401794
Neuf
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average and total expected discounted reward payoffs. In addition, it focuses on a new class of stochastic games: stochastic positional games that extend and generalize the classic deterministic positional games. It presents new algorithmic results on the suitable implementation of quasi-monotonic programming techniques. Moreover, the book presents applications of positional games within a class of multi-objective discrete control problems and hierarchical control problems on networks. Given its scope, the book will benefit all researchers and graduate students who are interested in Markov theory, control theory, optimization and games. 416 pp. Englisch. N° de réf. du vendeur 9783031401794
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Markov Decision Processes and Stochastic Positional Games
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031401794
ISBN 13 : 9783031401794
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Etat : New. 1st ed. 2024 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26396942357
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