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Volumn , Issue , 2007, Pages 3068-3073

Probabilistic inference for structured planning in robotics

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER NETWORKS; INFERENCE ENGINES; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; PROBABILITY;

EID: 51349151157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399296     Document Type: Conference Paper
Times cited : (24)

References (17)
  • 4
    • 51349157531 scopus 로고    scopus 로고
    • Schuurmans and Patrascu, Direct value-approximation for factored MDPs, in Advances in Neural Information Processing (NIPS 2001), 2001, pp. 1579-1586.
    • Schuurmans and Patrascu, "Direct value-approximation for factored MDPs," in Advances in Neural Information Processing (NIPS 2001), 2001, pp. 1579-1586.
  • 7
    • 34250728061 scopus 로고    scopus 로고
    • Probabilistic inference for solving discrete and continuous state Markov Decision Processes
    • M. Toussaint and A. Storkey, "Probabilistic inference for solving discrete and continuous state Markov Decision Processes," in 23nd Int. Conf. on Machine Learning (ICML 2006), 2006.
    • (2006) 23nd Int. Conf. on Machine Learning (ICML 2006)
    • Toussaint, M.1    Storkey, A.2
  • 8
    • 0032119668 scopus 로고    scopus 로고
    • The hierarchical hidden markov model: Analysis and applications
    • S. Fine, Y. Singer, and N. Tishby, "The hierarchical hidden markov model: Analysis and applications," Machine Learning, vol. 32, pp. 41-62, 1998.
    • (1998) Machine Learning , vol.32 , pp. 41-62
    • Fine, S.1    Singer, Y.2    Tishby, N.3
  • 12
    • 0013288412 scopus 로고    scopus 로고
    • Dynamic bayesian networks: Representation, inference and learning,
    • PhD Thesis, UC Berkeley, Computer Science Division
    • K. Murphy, "Dynamic bayesian networks: Representation, inference and learning," PhD Thesis, UC Berkeley, Computer Science Division, 2002.
    • (2002)
    • Murphy, K.1
  • 13
    • 51349153274 scopus 로고    scopus 로고
    • Probabilistic inference for solving (PO)MDPs,
    • EDI-INF-RR-0934, University of Edinburgh, School of Informatics
    • M. Toussaint, S. Harmeling, and A. Storkey, "Probabilistic inference for solving (PO)MDPs," Research Report EDI-INF-RR-0934, University of Edinburgh, School of Informatics, 2006.
    • (2006) Research Report
    • Toussaint, M.1    Harmeling, S.2    Storkey, A.3
  • 15
    • 0038387331 scopus 로고    scopus 로고
    • A family of algorithms for approximate bayesian inference,
    • PhD thesis, MIT
    • T. Minka, "A family of algorithms for approximate bayesian inference," PhD thesis, MIT, 2001.
    • (2001)
    • Minka, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.