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

Tatarenko, Tatiana

Couverture rigide

ISBN 10 : 3319654780 ISBN 13 : 9783319654782

Editeur : Springer International Publishing AG, 2017

Synopsis

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

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 3319654780
• ISBN 13: 9783319654782
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 171
• Coordonnées du fabricant: non disponible
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