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http://hdl.handle.net/1942/734
Title: | An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems | Authors: | TUYLS, Karl Lenaerts, Tom Manderick, Bernard |
Issue Date: | 2004 | Publisher: | Springer | Source: | Synthese, 139(2). p. 297-330 | Abstract: | In this paper we revise Reinforcement Learning andadaptiveness in Multi-Agent Systems from an EvolutionaryGame Theoretic perspective. More precisely we show thereis a triangular relation between the fields of Multi-AgentSystems, Reinforcement Learning and Evolutionary Game Theory.We illustrate how these new insights can contribute to a betterunderstanding of learning in MAS and to new improved learningalgorithms. All three fields are introduced in a self- containedmanner. Each relation is discussed in detail with thenecessary background information to understand it, alongwith major references to relevant work | Document URI: | http://hdl.handle.net/1942/734 | ISSN: | 0039-7857 | e-ISSN: | 1573-0964 | DOI: | 10.1023/B:SYNT.0000024908.89191.f1 | ISI #: | 000220957200006 | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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