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Volumn 2, Issue , 2009, Pages 605-610

All-Moves-As-First heuristics in Monte-Carlo go

Author keywords

All Moves As First; Computer Go; Heuristic search; Monte Carlo Tree Search; UCT

Indexed keywords

ALL-MOVES-AS-FIRST; COMPUTER GO; HEURISTIC SEARCH; TREE SEARCH; UCT;

EID: 80054029477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (8)
  • 1
    • 0036568025 scopus 로고    scopus 로고
    • Finite-time analysis of the multiarmed bandit problem
    • Peter Auer, Nicolò Cesa-Bianchi, and Paul Fischer. Finite-time analysis of the multiarmed bandit problem. Mach. Learn,, 47(2-3):235-256, 2002.
    • (2002) Mach. Learn , vol.47 , Issue.2-3 , pp. 235-256
    • Auer, P.1    Cesa-Bianchi, N.2    Fischer, P.3
  • 7
    • 33750293964 scopus 로고    scopus 로고
    • Bandit based Monte-Carlo planning
    • number 4212 in LNCS Springer
    • L. Kocsis and Cs. Szepesvári. Bandit based monte-carlo planning. In Machine Learning: ECML 2006, number 4212 in LNCS, pages 282-293. Springer, 2006.
    • (2006) Machine Learning: Ecml 2006 , pp. 282-293
    • Kocsis, L.1    Szepesvári, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.