Markov Decision Processes and Stochastic Positional Games: Optimal Control on Complex Networks: 349 (International Series in Operations Research & Management Science) - Tapa blanda
Sinopsis
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.
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Acerca del autor
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.
De la contraportada
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.
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Markov Decision Processes and Stochastic Positional Games
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Springer International Publishing, Springer Nature Switzerland Jan 2025, 2025
ISBN 10: 3031401824
ISBN 13: 9783031401824
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783031401824
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Markov Decision Processes and Stochastic Positional Games
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ISBN 10: 3031401824
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Markov Decision Processes and Stochastic Positional Games | Optimal Control on Complex Networks
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Taschenbuch. Condición: Neu. Markov Decision Processes and Stochastic Positional Games | Optimal Control on Complex Networks | Dmitrii Lozovanu (u. a.) | Taschenbuch | xix | Englisch | 2025 | Springer | EAN 9783031401824 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 130971873
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Markov Decision Processes and Stochastic Positional Games
Publicado por
Springer International Publishing, Springer Nature Switzerland Jan 2025, 2025
ISBN 10: 3031401824
ISBN 13: 9783031401824
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch. Nº de ref. del artículo: 9783031401824
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Markov Decision Processes and Stochastic Positional Games : Optimal Control on Complex Networks
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Springer International Publishing, Springer Nature Switzerland, 2025
ISBN 10: 3031401824
ISBN 13: 9783031401824
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783031401824
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