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Volumn , Issue , 2011, Pages

Nonlinear inverse reinforcement learning with Gaussian processes

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING ALGORITHMS; REINFORCEMENT LEARNING; STOCHASTIC SYSTEMS;

EID: 85162407671     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (390)

References (17)
  • 2
    • 61849173491 scopus 로고    scopus 로고
    • Gaussian process dynamic programming
    • M. P. Deisenroth, C. E. Rasmussen, and J. Peters. Gaussian process dynamic programming. Neurocomputing, 72(7-9):1508-1524, 2009.
    • (2009) Neurocomputing , vol.72 , Issue.7-9 , pp. 1508-1524
    • Deisenroth, M.P.1    Rasmussen, C.E.2    Peters, J.3
  • 6
  • 8
    • 29144453489 scopus 로고    scopus 로고
    • A unifying view of sparse approximate Gaussian process regression
    • J. Quiñonero Candela and C. E. Rasmussen. A unifying view of sparse approximate Gaussian process regression. Journal of Machine Learning Research, 6:1939-1959, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1939-1959
    • Candela, J.Q.1    Rasmussen, C.E.2
  • 14
    • 67650957592 scopus 로고    scopus 로고
    • Learning to search: Functional gradient techniques for imitation learning
    • N. Ratliff, D. Silver, and J. A. Bagnell. Learning to search: Functional gradient techniques for imitation learning. Autonomous Robots, 27(1):25-53, 2009.
    • (2009) Autonomous Robots , vol.27 , Issue.1 , pp. 25-53
    • Ratliff, N.1    Silver, D.2    Bagnell, J.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.