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Volumn 110, Issue , 2004, Pages 530-534

On-line search for solving Markov decision processes via heuristic sampling

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; OPTIMIZATION; PROBLEM SOLVING;

EID: 85017333287     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (18)
  • 3
    • 0346942368 scopus 로고    scopus 로고
    • Decision theoretic planning: Structural assumptions and computational leverage
    • C. Boutilier, T. Dean, and S. Hanks, Decision theoretic planning: Structural assumptions and computational leverage, Journal of Artificial Intelligence Research, 11, 1-94, (1999).
    • (1999) Journal of Artificial Intelligence Research , vol.11 , pp. 1-94
    • Boutilier, C.1    Dean, T.2    Hanks, S.3
  • 6
    • 0037691758 scopus 로고    scopus 로고
    • An adaptive sampling algorithm for solving Markov decision processes
    • to appear
    • H. S. Chang, M. C. Fu, and S. I. Marcus, An adaptive sampling algorithm for solving Markov Decision Processes, Operations Research, to appear, (2004).
    • (2004) Operations Research
    • Chang, H.S.1    Fu, M.C.2    Marcus, S.I.3
  • 7
    • 0034187322 scopus 로고    scopus 로고
    • Computing efforts allocation for ordinal optimization and discrete event simulation
    • H. C. Chen, C. H. Chen, and E. Yucesan, Computing efforts allocation for ordinal optimization and discrete event simulation, Journal of IEEE Transactions on Automatic Control, 45(5), 960-964, (2000).
    • (2000) Journal of IEEE Transactions on Automatic Control , vol.45 , Issue.5 , pp. 960-964
    • Chen, H.C.1    Chen, C.H.2    Yucesan, E.3
  • 9
    • 0035369425 scopus 로고    scopus 로고
    • Lao∗ : A heuristic search algorithm that finds solutions with loops
    • E. A. Hansen and S. Zilberstein, LAO∗ : A heuristic search algorithm that finds solutions with loops, Artificial Intelligence, 129, 35- 62, (2001).
    • (2001) Artificial Intelligence , vol.129 , pp. 35-62
    • Hansen, E.A.1    Zilberstein, S.2
  • 10
    • 0025502594 scopus 로고
    • Error bounds for rolling horizon policies in discrete-Time Markov control processes
    • O. Hernandez and J.B. Lasserre, Error bounds for rolling horizon policies in discrete-Time Markov control processes, IEEE Transactions on Automatic Control, 35(10), 1118-1124, (1990).
    • (1990) IEEE Transactions on Automatic Control , vol.35 , Issue.10 , pp. 1118-1124
    • Hernandez, O.1    Lasserre, J.B.2
  • 11
    • 0036832951 scopus 로고    scopus 로고
    • A sparse sampling algorithm for near-optimal planning in large Markov decision processes
    • M. J. Kearns, Y. Mansour, and A. Y. Ng, A sparse sampling algorithm for near-optimal planning in large Markov decision processes, Machine Learning, 49, 193-208, (2002).
    • (2002) Machine Learning , vol.49 , pp. 193-208
    • Kearns, M.J.1    Mansour, Y.2    Ng, A.Y.3
  • 12
    • 0025400088 scopus 로고
    • Real-Time heuristic search
    • R. E. Korf, Real-Time heuristic search, Artificial Intelligence, 42, 189- 211, (1990).
    • (1990) Artificial Intelligence , vol.42 , pp. 189-211
    • Korf, R.E.1
  • 13
    • 0032679082 scopus 로고    scopus 로고
    • Exploration of multi-state environments: Local measures and back-propagation of uncertainty
    • N. Meuleau and P. Bourgine, Exploration of multi-state environments: Local measures and back-propagation of uncertainty, Machine Learning, 35(2), 117-154, (1999).
    • (1999) Machine Learning , vol.35 , Issue.2 , pp. 117-154
    • Meuleau, N.1    Bourgine, P.2
  • 14
    • 0020787874 scopus 로고
    • On the nature of pathology in game searching
    • J. Pearl, On the nature of pathology in game searching, Artificial Intelligence, 20, 427-453, (1983).
    • (1983) Artificial Intelligence , vol.20 , pp. 427-453
    • Pearl, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.