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Volumn , Issue , 2008, Pages

Computing robust counter-strategies

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BEHAVIOR; ALGORITHM FOR SOLVING; BAYESIAN PARADIGM; BEST RESPONSE; MULTI AGENT; PERFORMANCE; SIMPLE++; TEXAS HOLD'EM; WORST-CASE PERFORMANCE;

EID: 85162048790     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (51)

References (13)
  • 1
    • 0036568025 scopus 로고    scopus 로고
    • Finite-time analysis of the multiarmed bandit problem
    • DOI 10.1023/A:1013689704352, Computational Learning Theory
    • P. Auer, N. Cesa-Bianchi, and P. Fischer. Finite time analysis of the multiarmed bandit problem. Machine Learning, 47:235-256, 2002. (Pubitemid 34126111)
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 235-256
    • Auer, P.1    Cesa-Bianchi, N.2    Fischer, P.3
  • 5
    • 33750796083 scopus 로고    scopus 로고
    • A competitive texas hold'em poker player via automated abstraction and real-time equilibrium computation
    • A. Gilpin and T. Sandholm. A competitive texas hold'em poker player via automated abstraction and real-time equilibrium computation. In National Conference on Artificial Intelligence, 2006.
    • (2006) National Conference on Artificial Intelligence
    • Gilpin, A.1    Sandholm, T.2
  • 8
    • 0001402950 scopus 로고
    • An iterative method of solving a game
    • Julia Robinson. An iterative method of solving a game. Annals of Mathematics, 54:296-301, 1951.
    • (1951) Annals of Mathematics , vol.54 , pp. 296-301
    • Robinson, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.