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Volumn 1266, Issue , 1997, Pages 435-444

Using a case base of surfaces to speed-up reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

REINFORCEMENT LEARNING;

EID: 84957544541     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63233-6_513     Document Type: Conference Paper
Times cited : (8)

References (19)
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    • (1994) AICom - Artificial Intelligence Communications , vol.7 , Issue.1 , pp. 39-37
    • Aamodt, A.1    Plaza, E.2
  • 3
    • 0022674591 scopus 로고
    • Model-based recognition in Robot Vision
    • C. H. Chin and C. R. Dyer (1986) Model-based recognition in Robot Vision. Computing surveys V. 18 No I pp 67-108
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    • Chin, C.H.1    Dyer, C.R.2
  • 4
    • 0000138396 scopus 로고
    • Case-Based Planning: A Framework for Planning from Experience
    • Kristian J. Hammond (1990) Case-Based Planning: A Framework for Planning from Experience. The Journal of Cognitive Science V. 14 no. 3
    • (1990) The Journal of Cognitive Science , vol.14 , Issue.3
    • Hammond, K.J.1
  • 6
    • 0027608460 scopus 로고
    • Tracking Deformable Objects in the Plane Using an Active Contour Model
    • Frederic Leymarie and Martin D. Levine. (1993) Tracking Deformable Objects in the Plane Using an Active Contour Model. IEEE Trans. Pattern Analysis And Machine Intelligence V. 15 No. 6 pp 617-634
    • (1993) IEEE Trans. Pattern Analysis And Machine Intelligence , vol.15 , Issue.6 , pp. 617-634
    • Leymarie, F.1    Levine, M.D.2
  • 11
    • 0027684215 scopus 로고
    • Prioritized Sweeping: Reinforcement Learning with Less Data and Less Real Time
    • A. W. Moore and C. G. Atkeson (1993) Prioritized Sweeping: Reinforcement Learning with Less Data and Less Real Time. Machine Learning, V. 13 pp 103-130
    • (1993) Machine Learning , vol.13 , pp. 103-130
    • Moore, A.W.1    Atkeson, C.G.2
  • 14
    • 0026828885 scopus 로고
    • Computational strategies for object recognition
    • P. Suetens and P. Fua and A. Hanson (1992) Computational strategies for object recognition. Computing surveys V. 24 No. 1 pp 5-61
    • (1992) Computing surveys , vol.24 , Issue.1 , pp. 5-61
    • Suetens, P.1    Fua, P.2    Hanson, A.3
  • 15
    • 33847202724 scopus 로고
    • Learning to Predict by the Methods of Temporal Differences
    • R.S. Sutton (1988) Learning to Predict by the Methods of Temporal Differences. Machine Learning V. 3 pp 9-44
    • (1988) Machine Learning , vol.3 , pp. 9-44
    • Sutton, R.S.1
  • 16
    • 85132026293 scopus 로고
    • Integrated architectures for learning, planning, and reacting based on approximating dynamic programming
    • R.S. Sutton (1990) Integrated architectures for learning, planning, and reacting based on approximating dynamic programming. Proc. Seventh International Conf. on Machine Learning pp 216-224
    • (1990) Proc. Seventh International Conf. on Machine Learning , pp. 216-224
    • Sutton, R.S.1
  • 17
    • 0002313852 scopus 로고    scopus 로고
    • Scaling up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function
    • P. Tadepalli and D. Ok (1996) Scaling up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function. Proc. Thirteenth International Conf. of Machine Learning pp 471-479
    • (1996) Proc. Thirteenth International Conf. of Machine Learning , pp. 471-479
    • Tadepalli, P.1    Ok, D.2
  • 18
    • 0027552829 scopus 로고
    • Derivational Analogy in PRODIGY: Automating Case Acquisition, storage and Utilization
    • Manuela M. Veloso and Jaime G. Carbonell (1993) Derivational Analogy in PRODIGY: Automating Case Acquisition, storage and Utilization, Machine Learning V. 10 No. 3 pp 249-278
    • (1993) Machine Learning , vol.10 , Issue.3 , pp. 249-278
    • Veloso, M.M.1    Carbonell, J.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.