| Description |
1 online resource (xx, 144 pages) : illustrations (some color) |
| Series |
Studies in computational intelligence, 1860-949X ; volume 603 |
|
Studies in computational intelligence ; volume 603. 1860-949X
|
| Contents |
Introduction -- Problem Description -- Background -- Related Work -- The PLASTIC Algorithms -- Theoretical Analysis of PLASTIC -- Empirical Evaluation -- Discussion and Conclusion |
| Summary |
This book is devoted to the encounter and interaction of agents such as robots with other agents and describes how they cooperate with their previously unknown teammates, forming an Ad Hoc team. It presents a new algorithm, PLASTIC, that allows agents to quickly adapt to new teammates by reusing knowledge learned from previous teammates. PLASTIC is instantiated in both a model-based approach, PLASTIC-Model, and a policy-based approach, PLASTIC-Policy. In addition to reusing knowledge learned from previous teammates, PLASTIC also allows users to provide expert-knowledge and can use transfer learning (such as the new TwoStageTransfer algorithm) to quickly create models of new teammates when it has some information about its new teammates. The effectiveness of the algorithm is demonstrated on three domains, ranging from multi-armed bandits to simulated robot soccer games |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed June 4, 2015) |
| Subject |
Ad hoc networks (Computer networks)
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Multiagent systems.
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Game theory.
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Social research & statistics.
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Robotics.
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Artificial intelligence.
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Mathematics -- Game Theory.
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Science -- System Theory.
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Technology & Engineering -- Robotics.
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Computers -- Intelligence (AI) & Semantics.
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Ad hoc networks (Computer networks)
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Multiagent systems
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| Form |
Electronic book
|
| ISBN |
9783319180694 |
|
331918069X |
|
3319180681 |
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9783319180687 |
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