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Volumn 2004, Issue 3, 2004, Pages 2399-2404

A point-based POMDP algorithm for robot planning

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; ITERATIVE METHODS; MOTION PLANNING; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 3042527666     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (122)

References (22)
  • 3
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    • Planning and acting in partially observable stochastic domains
    • L. P. Kaelbling, M. L. Littman, and A. R. Cassandra, "Planning and acting in partially observable stochastic domains," Artificial Intelligence, vol. 101, pp. 99-134, 1998.
    • (1998) Artificial Intelligence , vol.101 , pp. 99-134
    • Kaelbling, L.P.1    Littman, M.L.2    Cassandra, A.R.3
  • 6
    • 0036057745 scopus 로고    scopus 로고
    • Approximate planning with hierarchical partially observable Markov decision processes for robot navigation
    • Washington D.C.
    • G. Theocharous and S. Mahadevan, "Approximate planning with hierarchical partially observable Markov decision processes for robot navigation," in Proc. IEEE Int. Conf. on Robotics and Automation, Washington D.C., 2002.
    • (2002) Proc. IEEE Int. Conf. on Robotics and Automation
    • Theocharous, G.1    Mahadevan, S.2
  • 8
    • 0032596468 scopus 로고    scopus 로고
    • On the undecidability of probabilistic planning and infinite-horizon partially observable Markov decision problems
    • Orlando, Florida, July
    • O. Madani, S. Hanks, and A. Condon, "On the undecidability of probabilistic planning and infinite-horizon partially observable Markov decision problems," in Proc. 16th National Conf. on Artificial Intelligence, Orlando, Florida, July 1999.
    • (1999) Proc. 16th National Conf. on Artificial Intelligence
    • Madani, O.1    Hanks, S.2    Condon, A.3
  • 10
    • 0001770240 scopus 로고    scopus 로고
    • Value function approximations for partially observable Markov decision processes
    • M. Hauskrecht, "Value function approximations for partially observable Markov decision processes," Journal of Artificial Intelligence Research, vol. 13, pp. 33-95, 2000.
    • (2000) Journal of Artificial Intelligence Research , vol.13 , pp. 33-95
    • Hauskrecht, M.1
  • 12
    • 84899031196 scopus 로고    scopus 로고
    • Exponential family PCA for belief compression in POMDPs
    • Cambridge, MA: MIT Press
    • N. Roy and G. Gordon, "Exponential family PCA for belief compression in POMDPs," in Advances in Neural Information Processing Systems 15. Cambridge, MA: MIT Press, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Roy, N.1    Gordon, G.2
  • 15
    • 3042630319 scopus 로고    scopus 로고
    • Whistler, Canada, Dec
    • N. Vlassis and M. T. J. Spaan, "A fast point-based algorithm for POMDPs," in Benelearn 2004: Proceedings of the Annual Machine Learning Conference of Belgium and the Netherlands, Brussels, Belgium, Jan. 2004, pp. 170-176, (Also presented at the NIPS 16 workshop 'Planning for the Real-World', Whistler, Canada, Dec 2003).
    • (2003) NIPS 16 Workshop 'Planning for the Real-World'
  • 16
    • 84898978676 scopus 로고    scopus 로고
    • Monte carlo POMDPs
    • S. Solla, T. Leen, and K.-R. Müller, Eds. MIT Press
    • S. Thrun, "Monte carlo POMDPs," in Advances in Neural Information Processing Systems 12, S. Solla, T. Leen, and K.-R. Müller, Eds. MIT Press, 2000, pp. 1064-1070.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 1064-1070
    • Thrun, S.1
  • 17
    • 0034499827 scopus 로고    scopus 로고
    • Probabilistic algorithms in robotics
    • Win
    • _, "Probabilistic algorithms in robotics," AI Magazine, vol. 21, no. 4, pp. 93-109, Win 2000.
    • (2000) AI Magazine , vol.21 , Issue.4 , pp. 93-109
  • 20
    • 0036487280 scopus 로고    scopus 로고
    • The global k-means clustering algorithm
    • Feb.
    • A. Likas, N. Vlassis, and J. J. Verbeek, "The global k-means clustering algorithm," Pattern Recognition, vol. 36, no. 2, pp. 451-461, Feb. 2003.
    • (2003) Pattern Recognition , vol.36 , Issue.2 , pp. 451-461
    • Likas, A.1    Vlassis, N.2    Verbeek, J.J.3
  • 21
    • 0036059551 scopus 로고    scopus 로고
    • Auxiliary particle filter robot localization from high-dimensional sensor observations
    • Washington D.C., May
    • N. Vlassis, B. Terwijn, and B. Kröse, "Auxiliary particle filter robot localization from high-dimensional sensor observations," in Proc. IEEE Int. Conf. on Robotics and Automation, Washington D.C., May 2002, pp. 7-12.
    • (2002) Proc. IEEE Int. Conf. on Robotics and Automation , pp. 7-12
    • Vlassis, N.1    Terwijn, B.2    Kröse, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.