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Volumn 3, Issue , 2015, Pages 1766-1774

Training deep convolutional neural networks to play go

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84969920322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (126)

References (19)
  • 9
    • 84969929276 scopus 로고    scopus 로고
    • Master's thesis, University of Edinburgh
    • Clark, Christopher. Deep Go. Master's thesis, University of Edinburgh, 2014.
    • (2014) Deep Go
    • Clark, C.1
  • 10
    • 70349287633 scopus 로고    scopus 로고
    • Computing elo ratings of move patterns in the game of go
    • Coulom, Rémi. Computing Elo Ratings of Move Patterns in the Game of Go. In Computer games workshop, 2007.
    • (2007) Computer Games Workshop
    • Coulom, R.1
  • 12
    • 84943782204 scopus 로고    scopus 로고
    • Move evaluation in go using deep convolutional neural networks
    • abs/1412.6564
    • Maddison, Chris J., Huang, Aja, Sutskever, Ilya, and Silver, David. Move Evaluation in Go Using Deep Convolutional Neural Networks. CoRR, abs/1412.6564, 2014. URL http://arxiv.org/abs/1412.6564.
    • (2014) CoRR
    • Maddison, C.J.1    Huang, A.2    Sutskever, I.3    Silver, D.4
  • 15
    • 33749259434 scopus 로고    scopus 로고
    • Bayesian pattern ranking for move prediction in the game of go
    • Stem, David, Herbrich, Ralf, and Graepel, Thore. Bayesian Pattern Ranking for Move Prediction in the Game of Go. In ICML, 2006.
    • (2006) ICML
    • Stem, D.1    Herbrich, R.2    Graepel, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.