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Volumn , Issue , 2015, Pages

Move evaluation in go using deep convolutional neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; NEURAL NETWORKS;

EID: 85083951314     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (18)
  • 1
    • 84864964150 scopus 로고    scopus 로고
    • Pachi: State of the art open source go program
    • Springer
    • Baudiš, Petr and Gailly, Jean-loup. Pachi: State of the art open source go program. In Advances in Computer Games, pp. 24–38. Springer, 2012.
    • (2012) Advances in Computer Games , pp. 24-38
    • Baudiš, P.1    Gailly, J.-L.2
  • 4
    • 38049037928 scopus 로고    scopus 로고
    • Efficient selectivity and backup operators in Monte-Carlo tree search
    • Springer
    • Coulom, Rémi. Efficient selectivity and backup operators in Monte-Carlo tree search. In Computers and games, pp. 72–83. Springer, 2007.
    • (2007) Computers and Games , pp. 72-83
    • Coulom, R.1
  • 7
    • 78951484236 scopus 로고    scopus 로고
    • Fuego - an open-source framework for board games and go engine based on monte carlo tree search
    • Enzenberger, Markus, Müller, Martin, Arneson, Broderick, and Segal, R. Fuego - an open-source framework for board games and Go engine based on monte carlo tree search. IEEE Trans. Comput. Intellig. and AI in Games, 2(4):259–270, 2010.
    • (2010) IEEE Trans. Comput. Intellig. And AI in Games , vol.2 , Issue.4 , pp. 259-270
    • Enzenberger, M.1    Müller, M.2    Arneson, B.3    Segal, R.4
  • 9
    • 79956202655 scopus 로고    scopus 로고
    • Monte-Carlo tree search and rapid action value estimation in computer go
    • Gelly, S. and Silver, D. Monte-Carlo tree search and rapid action value estimation in computer Go. Artificial Intelligence, 175:1856–1875, 2011.
    • (2011) Artificial Intelligence , vol.175 , pp. 1856-1875
    • Gelly, S.1    Silver, D.2
  • 10
    • 84958545448 scopus 로고    scopus 로고
    • Investigating the limits of Monte-Carlo tree search methods in computer go
    • Yokohama, Japan, August 13-15, 2013, Revised Selected Papers
    • Huang, Shih-Chieh and Müller, Martin. Investigating the limits of Monte-Carlo tree search methods in computer Go. In Computers and Games - 8th International Conference, CG 2013, Yokohama, Japan, August 13-15, 2013, Revised Selected Papers, pp. 39–48, 2013.
    • (2013) Computers and Games - 8th International Conference, CG 2013 , pp. 39-48
    • Huang, S.-C.1    Müller, M.2
  • 12
    • 33750293964 scopus 로고    scopus 로고
    • Bandit based Monte-Carlo planning
    • Springer
    • Kocsis, Levente and Szepesvári, Csaba. Bandit based Monte-Carlo planning. In Machine Learning: ECML 2006, pp. 282–293. Springer, 2006.
    • (2006) Machine Learning: ECML 2006 , pp. 282-293
    • Kocsis, L.1    Szepesvári, C.2
  • 17
    • 52049104037 scopus 로고    scopus 로고
    • Mimicking go experts with convolutional neural networks
    • Springer
    • Sutskever, Ilya and Nair, Vinod. Mimicking Go experts with convolutional neural networks. In Artificial Neural Networks-ICANN 2008, pp. 101–110. Springer, 2008.
    • (2008) Artificial Neural Networks-ICANN 2008 , pp. 101-110
    • Sutskever, I.1    Nair, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.