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Volumn , Issue , 2009, Pages 125-131

No-limit Texas Hold'em Poker agents created with evolutionary neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CO-EVOLUTION; CURRENT QUALITY; EVOLUTIONARY HEURISTICS; EVOLUTIONARY METHOD; EVOLUTIONARY NEURAL NETWORK; EVOLVING NEURAL NETWORK; GAME SPACE; HYBRID METHOD; IMPERFECT INFORMATION; NON-LINEAR; STATE SPACE; TEXAS HOLD'EM;

EID: 71549152823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIG.2009.5286485     Document Type: Conference Paper
Times cited : (12)

References (23)
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    • 84901433087 scopus 로고    scopus 로고
    • L. Barone and L. While. An adaptive learning model for simplified poker using evolutionary algorithms. In P. J. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, and A. Zalzala, editors, Proceedings of the Congress on Evolutionary Computation, 1, pages 153-160, Mayflower Hotel, Washington D.C., USA, 6-9 1999. IEEE Press.
    • L. Barone and L. While. An adaptive learning model for simplified poker using evolutionary algorithms. In P. J. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, and A. Zalzala, editors, Proceedings of the Congress on Evolutionary Computation, volume 1, pages 153-160, Mayflower Hotel, Washington D.C., USA, 6-9 1999. IEEE Press.
  • 2
    • 37249066313 scopus 로고    scopus 로고
    • B. Beattie, G. Nicolai, D. Gerhard, and R. J. Hilderman. Pattern classification in no-limit poker: A head-start evolutionary approach. In Canadian Conference on AI, pages 204-215, 2007.
    • B. Beattie, G. Nicolai, D. Gerhard, and R. J. Hilderman. Pattern classification in no-limit poker: A head-start evolutionary approach. In Canadian Conference on AI, pages 204-215, 2007.
  • 7
    • 0036149522 scopus 로고    scopus 로고
    • M. Campbell, A. J. H. Jr., and F. hsiung Hsu. Deep blue. Artificial Intelligence, 134:57-83, 2002.
    • M. Campbell, A. J. H. Jr., and F. hsiung Hsu. Deep blue. Artificial Intelligence, 134:57-83, 2002.
  • 9
    • 47349108497 scopus 로고    scopus 로고
    • Gp-endchess: Using genetic programming to evolve chess endgame players
    • M. Keijzer, A. Tettamanzi, P. Collet, J. van Hemert, and M. Tomassini, editors
    • A. Hauptman and M. Sipper. Gp-endchess: Using genetic programming to evolve chess endgame players. In M. Keijzer, A. Tettamanzi, P. Collet, J. van Hemert, and M. Tomassini, editors, Proceedings of the 8th European Conference on Genetic Programming, 2005.
    • (2005) Proceedings of the 8th European Conference on Genetic Programming
    • Hauptman, A.1    Sipper, M.2
  • 15
    • 71549173620 scopus 로고    scopus 로고
    • M. Osborne and A. Rubinstein. A Course in Game Theory. MIT Press, 1994.
    • M. Osborne and A. Rubinstein. A Course in Game Theory. MIT Press, 1994.
  • 16
    • 0032156067 scopus 로고    scopus 로고
    • Co-evolution in the successful learning of backgammon strategy
    • J. B. Pollack and A. D. Blair. Co-evolution in the successful learning of backgammon strategy. Mach. Learn., 32(3):225-240, 1998.
    • (1998) Mach. Learn , vol.32 , Issue.3 , pp. 225-240
    • Pollack, J.B.1    Blair, A.D.2
  • 22
    • 0036147771 scopus 로고    scopus 로고
    • Programming backgammon using self-teaching neural nets
    • G. Tesauro. Programming backgammon using self-teaching neural nets. Artif. Intell., 134(1-2):181-199, 2002.
    • (2002) Artif. Intell , vol.134 , Issue.1-2 , pp. 181-199
    • Tesauro, G.1
  • 23
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    • Learning to play the game of chess
    • G. Tesauro, D. Touretzky, and T. Leen, editors, The MIT Press, Cambridge, MA
    • S. Thrun. Learning to play the game of chess. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems 7, pages 1069-1076. The MIT Press, Cambridge, MA, 1995.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 1069-1076
    • Thrun, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.