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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331988039X ISBN 13: 9783319880396
Language: English
£ 46.91
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 communication 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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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing, 2017
ISBN 10: 3319654780 ISBN 13: 9783319654782
Language: English
£ 46.91
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 communication 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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Hardcover. Condition: Brand New. 171 pages. 9.25x6.25x0.75 inches. In Stock.
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£ 68.71
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Add to basketCondition: New. pp. IX, 171 38 illus. 1 Edition NO-PA16APR2015-KAP.
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing, Springer Nature Switzerland Aug 2018, 2018
ISBN 10: 331988039X ISBN 13: 9783319880396
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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£ 46.91
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Add to basketTaschenbuch. Condition: Neu. Neuware -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 communication 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing, Springer Nature Switzerland Sep 2017, 2017
ISBN 10: 3319654780 ISBN 13: 9783319654782
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 46.91
Convert currency£ 29.80 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -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 communication 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.
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Paperback. Condition: Brand New. reprint edition. 171 pages. 9.25x6.10x0.42 inches. In Stock.
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing Aug 2018, 2018
ISBN 10: 331988039X ISBN 13: 9783319880396
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 46.91
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 communication 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. 184 pp. Englisch.
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing Sep 2017, 2017
ISBN 10: 3319654780 ISBN 13: 9783319654782
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 46.91
Convert currency£ 9.37 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 communication 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. 184 pp. Englisch.
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing, 2018
ISBN 10: 331988039X ISBN 13: 9783319880396
Language: English
£ 42.42
Convert currency£ 21.28 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Lo.
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Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
Published by Springer International Publishing, 2017
ISBN 10: 3319654780 ISBN 13: 9783319654782
Language: English
£ 42.42
Convert currency£ 21.28 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Lo.
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£ 60.04
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Add to basketCondition: New. PRINT ON DEMAND pp. 162.
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Condition: New. Print on Demand pp. IX, 171 38 illus.
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£ 74.92
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Add to basketCondition: New. PRINT ON DEMAND pp. IX, 171 38 illus.
