메뉴 건너뛰기




Volumn , Issue , 2016, Pages 360-367

Poker-CNN: A pattern learning strategy for making draws and bets in poker games using convolutional networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; HEURISTIC PROGRAMMING; NEURAL NETWORKS; PATTERN MATCHING;

EID: 85007197275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (24)
  • 1
    • 84923349132 scopus 로고    scopus 로고
    • Heads-up limit holdem poker is solved
    • Bowling, M.; Burch, N.; Johanson, M.; and Tammelin, O. 2015. Heads-up limit holdem poker is solved. Science 347(6218):145-149.
    • (2015) Science , vol.347 , Issue.6218 , pp. 145-149
    • Bowling, M.1    Burch, N.2    Johanson, M.3    Tammelin, O.4
  • 3
    • 33745139542 scopus 로고    scopus 로고
    • A reinforcement learning algorithm applied to simplified two-player Texas holdem poker
    • Springer
    • Dahl, F. A. 2001. A reinforcement learning algorithm applied to simplified two-player texas holdem poker. In Machine Learning: ECML 2001. Springer. 85-96.
    • (2001) Machine Learning: ECML 2001 , pp. 85-96
    • Dahl, F.A.1
  • 5
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • Fukushima, K. 1980. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological cybernetics 36(4):193-202.
    • (1980) Biological Cybernetics , vol.36 , Issue.4 , pp. 193-202
    • Fukushima, K.1
  • 8
    • 84868271214 scopus 로고    scopus 로고
    • Accelerating best response calculation in large extensive games
    • Johanson, M.; Waugh, K.; Bowling, M.; and Zinkevich, M. 2011. Accelerating best response calculation in large extensive games. In IJCAI, volume 11, 258-265.
    • (2011) IJCAI , vol.11 , pp. 258-265
    • Johanson, M.1    Waugh, K.2    Bowling, M.3    Zinkevich, M.4
  • 11
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • Krizhevsky, A.; Sutskever, I.; and Hinton, G. E. 2012. Imagenet classification with deep convolutional neural networks. In NIPS, 1106-1114.
    • (2012) NIPS , pp. 1106-1114
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 12
    • 0032203257 scopus 로고    scopus 로고
    • Gradient based learning applied to document recognition
    • LeCun, Y.; Bottou, L.; Bengio, Y.; and Haffner, P. 1998. Gradient based learning applied to document recognition. PIEEE 86(11):2278-2324.
    • (1998) PIEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 15
    • 79953207627 scopus 로고    scopus 로고
    • Computer poker: A review
    • Rubin, J., and Watson, I. 2011. Computer poker: A review. Artificial Intelligence 175(5):958-987.
    • (2011) Artificial Intelligence , vol.175 , Issue.5 , pp. 958-987
    • Rubin, J.1    Watson, I.2
  • 16
    • 85007157740 scopus 로고    scopus 로고
    • Ai wears its best poker face to take on the pros
    • Rutkin, A. 2015. Ai wears its best poker face to take on the pros. New Scientist 226(3020):21.
    • (2015) New Scientist , vol.226 , Issue.3020 , pp. 21
    • Rutkin, A.1
  • 17
    • 84961221598 scopus 로고    scopus 로고
    • Abstraction for solving large incomplete-information games
    • Senior Member Track
    • Sandholm, T. 2015a. Abstraction for solving large incomplete-information games. In AAAI Conference on Artificial Intelligence (AAAI). Senior Member Track.
    • (2015) AAAI Conference on Artificial Intelligence (AAAI)
    • Sandholm, T.1
  • 18
    • 84923382710 scopus 로고    scopus 로고
    • Solving imperfect-information games
    • Sandholm, T. 2015b. Solving imperfect-information games. Science 347(6218):122-123.
    • (2015) Science , vol.347 , Issue.6218 , pp. 122-123
    • Sandholm, T.1
  • 20
    • 84897510162 scopus 로고    scopus 로고
    • On the importance of initialization and momentum in deep learning
    • Sutskever, I.; Martens, J.; Dahl, G.; and Hinton, G. 2013. On the importance of initialization and momentum in deep learning. In ICML, 1139-1147.
    • (2013) ICML , pp. 1139-1147
    • Sutskever, I.1    Martens, J.2    Dahl, G.3    Hinton, G.4
  • 21
    • 84911198048 scopus 로고    scopus 로고
    • Deepface: Closing the gap to human-level performance in face verification
    • Taigman, Y.; Yang, M.; Ranzato, M.; and Wolf, L. 2014. Deepface: Closing the gap to human-level performance in face verification. In CVPR.
    • (2014) CVPR
    • Taigman, Y.1    Yang, M.2    Ranzato, M.3    Wolf, L.4
  • 22
    • 0000985504 scopus 로고
    • Td-gammon, a self-Teaching backgammon program, achieves master-level play
    • Tesauro, G. 1994. Td-gammon, a self-Teaching backgammon program, achieves master-level play. Neural computation 6(2):215-219.
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 215-219
    • Tesauro, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.