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Volumn , Issue , 2010, Pages 261-266

Incremental learning of subtasks from unsegmented demonstration

Author keywords

[No Author keywords available]

Indexed keywords

DATA POINTS; FINITE STATE MACHINES; INCREMENTAL LEARNING; LEARNING FROM DEMONSTRATION; MIXTURE OF EXPERTS; ROBOT SOCCER; SUBTASKS; TASK STRUCTURE;

EID: 78651471279     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2010.5650500     Document Type: Conference Paper
Times cited : (83)

References (16)
  • 1
    • 0002116373 scopus 로고    scopus 로고
    • Acquisition of probabilistic behavior decision model based on the interactive teaching method
    • T. Inamura, M. Inaba, and H. Inoue, "Acquisition of probabilistic behavior decision model based on the interactive teaching method," in Intl. Conf. on Adv. Robotics, Tokyo, Oct. 1999, pp. 523-528.
    • Intl. Conf. on Adv. Robotics, Tokyo, Oct. 1999 , pp. 523-528
    • Inamura, T.1    Inaba, M.2    Inoue, H.3
  • 4
    • 0037471828 scopus 로고    scopus 로고
    • Computational approaches to motor learning by imitation
    • Mar.
    • S. Schaal, A. Ijspeert, and A. Billard, "Computational approaches to motor learning by imitation," Phil. Trans. of the Royal Soc. of London, vol. 358, no. 1431, pp. 537-547, Mar. 2003.
    • (2003) Phil. Trans. of the Royal Soc. of London , vol.358 , Issue.1431 , pp. 537-547
    • Schaal, S.1    Ijspeert, A.2    Billard, A.3
  • 7
    • 78651487781 scopus 로고    scopus 로고
    • Springer, ch. Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration
    • D. H. Grollman and O. C. Jenkins, From Motor to Interaction Learning in Robots. Springer, 2009, ch. Can We Learn Finite State Machine Robot Controllers from Interactive Demonstration?
    • (2009) From Motor to Interaction Learning in Robots
    • Grollman, D.H.1    Jenkins, O.C.2
  • 8
    • 0002557085 scopus 로고
    • Learning to perceive and act by trial and error
    • Jan.
    • S. D. Whitehead and D. H. Ballard, "Learning to perceive and act by trial and error," Machine Learning, vol. 7, no. 1, pp. 45-83, Jan. 1991.
    • (1991) Machine Learning , vol.7 , Issue.1 , pp. 45-83
    • Whitehead, S.D.1    Ballard, D.H.2
  • 12
    • 84858766481 scopus 로고    scopus 로고
    • An alternative infinite mixture of Gaussian process experts
    • Vancouver, CAN, Dec.
    • E. Meeds and S. Osindero, "An alternative infinite mixture of Gaussian process experts," in Neural Information Processing Systems, Vancouver, CAN, Dec. 2005, pp. 883-890.
    • (2005) Neural Information Processing Systems , pp. 883-890
    • Meeds, E.1    Osindero, S.2
  • 15
    • 3843139378 scopus 로고    scopus 로고
    • Particle filters for mixture models with an unknown number of components
    • Jan.
    • P. Fearnhead, "Particle filters for mixture models with an unknown number of components," Statistics and Computing, vol. 14, no. 1, pp. 11-21, Jan. 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.1 , pp. 11-21
    • Fearnhead, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.