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AuTsz-Chiu

Au, Tsz-Chiu
Agents & Robotic Transportation Lab.
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dc.citation.conferencePlace US -
dc.citation.conferencePlace Estoril; Portugal -
dc.citation.endPage 844 -
dc.citation.startPage 837 -
dc.citation.title International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'08) -
dc.contributor.author Au, Tsz-Chiu -
dc.contributor.author Kraus, Sarit -
dc.contributor.author Nau, Dana -
dc.date.accessioned 2023-12-20T04:37:26Z -
dc.date.available 2023-12-20T04:37:26Z -
dc.date.created 2014-12-23 -
dc.date.issued 2008-05-12 -
dc.description.abstract We describe how to take a set of interaction traces produced by different pairs of players in a two-player repeated game, and combine them into a composite strategy. We provide an algorithm that,in polynomial time, can generate the best such composite strategy.We describe how to incorporate the composite strategy into an existing agent, as an enhancement of the agent’s original strategy.We provide experimental results using interaction traces from 126 agents (most of them written by students as class projects) for the Iterated Prisoner’s Dilemma, Iterated Chicken Game, and Iterated Battle of the Sexes. We compared each agent with the enhanced version of that agent produced by our algorithm. The enhancements improved the agents’ scores by about 5% in the IPD, 11% in the ICG, and 26% in the IBS, and improved their rank by about 12% in the IPD, 38% in the ICG, and 33% in the IBS. -
dc.identifier.bibliographicCitation International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'08), pp.837 - 844 -
dc.identifier.issn 1548-8403 -
dc.identifier.scopusid 2-s2.0-84899899093 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/34477 -
dc.language 영어 -
dc.publisher AAMAS -
dc.title Synthesis of Strategies from Interaction Traces -
dc.type Conference Paper -
dc.date.conferenceDate 2008-05-12 -

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