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Volumn 171, Issue 7, 2007, Pages 429-433

The possible and the impossible in multi-agent learning

Author keywords

Dynamics; Equilibrium; Learning

Indexed keywords

BOUNDARY CONDITIONS; LEARNING SYSTEMS;

EID: 34249001282     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artint.2006.10.015     Document Type: Article
Times cited : (18)

References (18)
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  • 3
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    • Calibrated learning and correlated equilibrium
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  • 6
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    • Learning, hypothesis testing, and Nash equilibrium
    • Foster D.P., and Young H.P. Learning, hypothesis testing, and Nash equilibrium. Games and Economic Behavior 45 (2003) 73-96
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    • Foster, D.P.1    Young, H.P.2
  • 7
    • 34249003606 scopus 로고    scopus 로고
    • Regret testing: learning to play Nash equilibrium without knowing you have an opponent
    • Foster D.P., and Young H.P. Regret testing: learning to play Nash equilibrium without knowing you have an opponent. Theoretical Economics 1 (2006) 341-367
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    • Foster, D.P.1    Young, H.P.2
  • 9
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  • 10
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    • A simple adaptive procedure leading to correlated equilibrium
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    • Hart, S.1    Mas-Colell, A.2
  • 12
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    • Stochastic uncoupled dynamics and Nash equilibrium
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    • Bayesian learning in normal form games
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    • Three problems in learning mixed-strategy equilibria
    • Jordan J.S. Three problems in learning mixed-strategy equilibria. Games and Economic Behavior 5 (1993) 368-386
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  • 15
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    • Rational learning leads to Nash equilibrium
    • Kalai E., and Lehrer E. Rational learning leads to Nash equilibrium. Econometrica 61 (1993) 1019-1045
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  • 16
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    • Strategically zero-sum games: the class of games whose completely mixed equilibria cannot be improved upon
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  • 17
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    • If multi-agent learning is the answer, what is the question?
    • this issue
    • Shoham Y., Powers R., and Grenager T. If multi-agent learning is the answer, what is the question?. Artificial Intelligence 171 7 (2007) 365-377 this issue
    • (2007) Artificial Intelligence , vol.171 , Issue.7 , pp. 365-377
    • Shoham, Y.1    Powers, R.2    Grenager, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.