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Volumn 32, Issue 1, 2009, Pages 3-11

Building controllers for tetris

Author keywords

[No Author keywords available]

Indexed keywords

REINFORCEMENT LEARNING;

EID: 70350140182     PISSN: 13896911     EISSN: None     Source Type: Journal    
DOI: 10.3233/ICG-2009-32102     Document Type: Article
Times cited : (43)

References (19)
  • 1
    • 0003787146 scopus 로고
    • Princeton University Press, Princeton, NJ
    • Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ.
    • (1957) Dynamic Programming
    • Bellman, R.E.1
  • 3
    • 0004302610 scopus 로고
    • John Wiley & Sons, New York, N.Y., 3rd edition
    • Billingsley, P. (1995). Probability and measure. John Wiley & Sons, New York, N.Y., 3rd edition.
    • (1995) Probability and Measure
    • Billingsley, P.1
  • 6
    • 0442320716 scopus 로고    scopus 로고
    • How to lose at tetris
    • Burgiel, H. (1997). How to Lose at Tetris. Mathematical Gazette, Vol.81, pp. 194-200.
    • (1997) Mathematical Gazette , vol.81 , pp. 194-200
    • Burgiel, H.1
  • 7
    • 79959391963 scopus 로고    scopus 로고
    • Technical report, Computer Science department of Rhodes University
    • Carr, D. (2005). Applying reinforcement learning to Tetris. Technical report, Computer Science department of Rhodes University.
    • (2005) Applying Reinforcement Learning to Tetris
    • Carr, D.1
  • 13
    • 84876663644 scopus 로고    scopus 로고
    • Xtris readme.
    • Llima, R. E. (2005). Xtris readme. http://www.iagora.com/~espel/xtris/ README.
    • (2005)
    • Llima, R.E.1
  • 15
    • 33845323186 scopus 로고    scopus 로고
    • On the numeric stability of gaussian processes regression for relational reinforcement learning
    • Ramon, J. and Driessens, K. (2004). On the numeric stability of gaussian processes regression for relational reinforcement learning. ICML-2004 Workshop on Relational Reinforcement Learning, pp. 10-14.
    • (2004) ICML-2004 Workshop on Relational Reinforcement Learning , pp. 10-14
    • Ramon, J.1    Driessens, K.2
  • 17
    • 33845344721 scopus 로고    scopus 로고
    • Learning tetris using the noisy cross-entropy method
    • Szita, I. and Loyincz, A. (2006). Learning Tetris Using the Noisy Cross-Entropy Method. Neural Computation, Vol.18, No.12, pp. 2936-2941.
    • (2006) Neural Computation , vol.18 , Issue.12 , pp. 2936-2941
    • Szita, I.1    Loyincz, A.2
  • 18
    • 70350158274 scopus 로고    scopus 로고
    • Construction d'un joueur artificiel pour tetris
    • Thiery, C. and Scherrer, B. (2009). Construction d'un joueur artificiel pour Tetris. Revue d'Intelligence Artifi-cielle, Vol.23, pp. 387-407.
    • (2009) Revue d'Intelligence Artifi-cielle , vol.23 , pp. 387-407
    • Thiery, C.1    Scherrer, B.2
  • 19
    • 0029752470 scopus 로고    scopus 로고
    • Feature-based methods for large scale dynamic programming
    • Tsitsiklis, J. N. and Roy, B. van (1996). Feature-Based Methods for Large Scale Dynamic Programming. Machine Learning, Vol.22, pp. 59-94.
    • (1996) Machine Learning , vol.22 , pp. 59-94
    • Tsitsiklis, J.N.1    Van Roy, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.