Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems - Softcover

Tatarenko, Tatiana

 
9783319880396: Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Softcover
ISBN 10: 331988039X ISBN 13: 9783319880396
Verlag: Springer, 2018

Inhaltsangabe

Presents new, efficient methods for optimization in large-scale multi-agent systems
Develops efficient optimization algorithms for three different information settings in multi-agent systems
Sets optimization problems without common restrictive assumptions

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Über die Autorin bzw. den Autor

Tatiana Tatarenko received her Ph.D. from the Control Methods and Robotics Lab at the Technical University of Darmstadt, Germany in 2017. In 2011, she graduated with honors in Mathematics, focusing on statistics and stochastic processes, from Lomonosov Moscow State University, Russia. Her main research interests are in the fields of distributed optimization, game-theoretic learning, and stochastic processes in networked multi-agent systems. Currently, Dr. Tatarenko is a research assistant at TU Darmstadt, where she teaches and supervises students. 

Von der hinteren Coverseite

This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during scommunication with their local neighbors. The book, primarily aimed at researchers in optimization and control, considers three different information settings in multi-agent systems: oracle-based, communication-based, and payoff-based. For each of these information types, an efficient optimization algorithm is developed, which leads the system to an optimal state. The optimization problems are set without such restrictive assumptions as convexity of the objective functions, complicated communication topologies, closed-form expressions for costs and utilities, and finiteness of the system’s state space. 



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Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
331988039X
ISBN 13 
9783319880396
Einband
Tapa blanda
Anzahl der Seiten
184
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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Hamburg
Deutschland

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9783319654782: Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems

Vorgestellte Ausgabe

ISBN 10:  3319654780 ISBN 13:  9783319654782
Verlag: Springer, 2017
Hardcover