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Volumn , Issue , 2009, Pages 387-393

On the evolution of artificial Tetris players

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING PROCESS; LEARNING TIME; SEARCH SPACES; SPEED-UPS;

EID: 71549125902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIG.2009.5286451     Document Type: Conference Paper
Times cited : (19)

References (23)
  • 1
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    • C. P. Fahey, "Tetris AI, Computer plays Tetris," 2003, on the web http://colinfahey.com/tetris/tetris-en.html.
  • 2
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    • How to lose at Tetris
    • H. Burgiel, "How to lose at Tetris," Mathematical Gazette, vol. 81, pp. 194-200, 1997.
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    • Burgiel, H.1
  • 4
    • 70350140182 scopus 로고    scopus 로고
    • C. Thiery and B. Scherrer, Building controllers for tetris, a review, to apprear in The International Computer Game Association Journal, pp. -, 2009.
    • C. Thiery and B. Scherrer, "Building controllers for tetris, a review," to apprear in The International Computer Game Association Journal, vol. -, pp. -, 2009.
  • 6
    • 0029752470 scopus 로고    scopus 로고
    • Feature-based methods for large scale dynamic programming
    • J. N. Tsitsiklis and B. van Roy, "Feature-based methods for large scale dynamic programming," Machine Learning, vol. 22, pp. 59-94, 1996.
    • (1996) Machine Learning , vol.22 , pp. 59-94
    • Tsitsiklis, J.N.1    van Roy, B.2
  • 10
    • 33845344721 scopus 로고    scopus 로고
    • Learning tetris using the noisy cross-entropy method
    • I. Szita and A. Lörincz, "Learning tetris using the noisy cross-entropy method," Neural Comput., vol. 18, no. 12, pp. 2936-2941, 2006.
    • (2006) Neural Comput , vol.18 , Issue.12 , pp. 2936-2941
    • Szita, I.1    Lörincz, A.2
  • 12
    • 3142660229 scopus 로고    scopus 로고
    • Genetically optimizing the speed of programs evolved to play tetris
    • P. J. Angeline and K. E. Kinnear, Jr, Eds. Cambridge, MA, USA: MIT Press
    • E. V. Siegel and A. D. Chaffee, "Genetically optimizing the speed of programs evolved to play tetris," in Advances in Genetic Programming 2, P. J. Angeline and K. E. Kinnear, Jr., Eds. Cambridge, MA, USA: MIT Press, 1996, pp. 279-298.
    • (1996) Advances in Genetic Programming , vol.2 , pp. 279-298
    • Siegel, E.V.1    Chaffee, A.D.2
  • 14
    • 71549160450 scopus 로고    scopus 로고
    • R. E. Llima, "Xtris readme," 2005, http://www.iagora.com/ ̃espel/xtris/README.
    • (2005) Xtris readme
    • Llima, R.E.1
  • 17
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • -, "Completely derandomized self-adaptation in evolution strategies," Evolutionary Computation, vol. 9, no. 2, pp. 159-195, 2001.
    • (2001) Evolutionary Computation , vol.9 , Issue.2 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 18
    • 0000244350 scopus 로고
    • Evolution strategy
    • J. Zurada, R.MarksII, and C. Robinson, Eds. Piscataway, NJ: IEEE Press
    • I. Rechenberg, "Evolution strategy," in Computational Intelligence imitating life, J. Zurada, R.MarksII, and C. Robinson, Eds. Piscataway, NJ: IEEE Press, 1994, pp. 147-159.
    • (1994) Computational Intelligence imitating life , pp. 147-159
    • Rechenberg, I.1
  • 20
    • 0037592480 scopus 로고    scopus 로고
    • Evolution strategies: A comprehensive introduction
    • H.-G. Beyer. and H.-P. Schwefel, "Evolution strategies: A comprehensive introduction," Natural Computing, vol. 1, no. 1, pp. 3-52, 2002.
    • (2002) Natural Computing , vol.1 , Issue.1 , pp. 3-52
    • Beyer, H.-G.1    Schwefel, H.-P.2
  • 22
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    • State definition in the tetris task: Designing a hybrid model of cognition
    • Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh
    • V. D. Veksler and W. D. Gray, "State definition in the tetris task: designing a hybrid model of cognition," in Proceedings of the sixth International Conference on Cognitive Modeling. Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh, 2004, pp. 394-395.
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    • Veksler, V.D.1    Gray, W.D.2
  • 23
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    • Tetris as a task environment for research in dynamic decision making, attention, categorization, and cognitive modeling
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    • B. Zafrina, V. D. Veksler, S. Gamard, and W. D. Gray, "Tetris as a task environment for research in dynamic decision making, attention, categorization, and cognitive modeling," in Proceedings of the 28th Annual Conference of the Cognitive Science Society, R. Sun and N. Miyake, Eds. Lawrence Erlbaum, Hillsdale, NJ, 2006, p. 2637.
    • (2006) Proceedings of the 28th Annual Conference of the Cognitive Science Society , pp. 2637
    • Zafrina, B.1    Veksler, V.D.2    Gamard, S.3    Gray, W.D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.