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Volumn , Issue , 2011, Pages 940-945

Planning for Operational Control Systems with Predictable Exogenous Events

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ECONOMICS; FLIGHT CONTROL SYSTEMS; MARKOV PROCESSES;

EID: 80051941362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (13)
  • 1
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    • (1995) Artificial Inteligence , vol.72 , Issue.1 , pp. 81-138
    • Barto, A. G.1    Bradtke, S. J.2    Singh, S. P.3
  • 2
    • 0346942368 scopus 로고    scopus 로고
    • Decision theoretic planning: Structural assumptions and computational leverage
    • Boutilier, C.; Dean, T.; and Hanks, S. 1999. Decision theoretic planning: Structural assumptions and computational leverage. Journal of AI Research 11:1-94.
    • (1999) Journal of AI Research , vol.11 , pp. 1-94
    • Boutilier, C.1    Dean, T.2    Hanks, S.3
  • 3
    • 78650627490 scopus 로고    scopus 로고
    • Efficient solutions to factored MDPs with imprecise transition probabilities
    • Delgado, K. V.; Sanner, S.; de Barros, L. N.; and Cozman, F. G. 2009. Efficient solutions to factored MDPs with imprecise transition probabilities. In ICAPS.
    • (2009) ICAPS
    • Delgado, K. V.1    Sanner, S.2    de Barros, L. N.3    Cozman, F. G.4
  • 4
    • 80051929093 scopus 로고    scopus 로고
    • Towards proactive event-driven computing
    • Engel, Y., and Etzion, O. 2011. Towards proactive event-driven computing. In DEBS.
    • (2011) DEBS
    • Engel, Y.1    Etzion, O.2
  • 7
    • 0035369425 scopus 로고    scopus 로고
    • LAO*: A heuristic search algorithm that finds solutions with loops
    • Hansen, E., and Zilberstein, S. 2001. LAO*: A heuristic search algorithm that finds solutions with loops. Artificial Intelligence 129(1-2):35-62.
    • (2001) Artificial Intelligence , vol.129 , Issue.1-2 , pp. 35-62
    • Hansen, E.1    Zilberstein, S.2
  • 8
    • 0036832951 scopus 로고    scopus 로고
    • A sparse sampling algorithm for near-optimal planning in large markov decision processes
    • Kearns, M. J.; Mansour, Y.; and Ng, A. Y. 2002. A sparse sampling algorithm for near-optimal planning in large markov decision processes. Machine Learning 49(2-3):193-208.
    • (2002) Machine Learning , vol.49 , Issue.2-3 , pp. 193-208
    • Kearns, M. J.1    Mansour, Y.2    Ng, A. Y.3
  • 9
    • 84880741254 scopus 로고    scopus 로고
    • AND/OR branch-and-bound for graphical models
    • Marinescu, R., and Dechter, R. 2005. AND/OR branch-and-bound for graphical models. In IJCAI.
    • (2005) IJCAI
    • Marinescu, R.1    Dechter, R.2
  • 10
    • 85167440387 scopus 로고    scopus 로고
    • Robust policy computation in reward-uncertain MDPs using nondominated policies
    • Regan, K., and Boutilier, C. 2010. Robust policy computation in reward-uncertain MDPs using nondominated policies. In AAAI.
    • (2010) AAAI
    • Regan, K.1    Boutilier, C.2
  • 12
    • 80051928295 scopus 로고    scopus 로고
    • A model for reasoning with uncertain rules in event composition
    • Wasserkrug, S.; Gal, A.; and Etzion, O. 2005. A model for reasoning with uncertain rules in event composition. In UAI.
    • (2005) UAI
    • Wasserkrug, S.1    Gal, A.2    Etzion, O.3
  • 13
    • 77957947989 scopus 로고    scopus 로고
    • Probabilistic planning via determinization in hindsight
    • Yoon, S. W.; Fern, A.; Givan, R.; and Kambhampati, S. 2008. Probabilistic planning via determinization in hindsight. In AAAI.
    • (2008) AAAI
    • Yoon, S. W.1    Fern, A.2    Givan, R.3    Kambhampati, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.