메뉴 건너뛰기




Volumn , Issue , 2007, Pages 352-359

FF-Replan: A baseline for probabilistic planning

Author keywords

[No Author keywords available]

Indexed keywords

DETERMINISTICS; PLANNING COMPETITIONS; PLANNING DOMAINS; PLANNING PROBLEM; PROBABILISTIC PLANNING; STATE OF THE ART;

EID: 58349118462     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (241)

References (21)
  • 2
    • 84943242075 scopus 로고    scopus 로고
    • Probabilistic planning in the graphplan framework
    • Blum, A., and Langford, J. 1999. Probabilistic planning in the graphplan framework. In ECP, 319-332.
    • (1999) ECP , pp. 319-332
    • Blum, A.1    Langford, J.2
  • 5
    • 0034248853 scopus 로고    scopus 로고
    • Stochastic dynamic programming with factored representations
    • Boutilier, C.; Dearden, R.; and Goldszmidt, M. 2000. Stochastic dynamic programming with factored representations. Artificial Intelligence 121(1-2):49-107.
    • (2000) Artificial Intelligence , vol.121 , Issue.1-2 , pp. 49-107
    • Boutilier, C.1    Dearden, R.2    Goldszmidt, M.3
  • 7
    • 33744466799 scopus 로고    scopus 로고
    • Approximate policy iteration with a policy language bias: Solving relational markov decision processes
    • Fern, A.; Yoon, S.; and Givan, R. 2006. Approximate policy iteration with a policy language bias: Solving relational markov decision processes. Journal of Artificial Intelligence Research 25:85-118.
    • (2006) Journal of Artificial Intelligence Research , vol.25 , pp. 85-118
    • Fern, A.1    Yoon, S.2    Givan, R.3
  • 9
    • 85163477425 scopus 로고    scopus 로고
    • Gretton, C., and Thiebaux, S. 2004. Non markovian reward decision process planner, url=http://users.rsise. anu.edu.au/~charlesg/nmrdpp/.
    • Gretton, C., and Thiebaux, S. 2004. Non markovian reward decision process planner, url=http://users.rsise. anu.edu.au/~charlesg/nmrdpp/.
  • 10
    • 0036377352 scopus 로고    scopus 로고
    • The FF planning system: Fast plan generation through heuristic search
    • Hoffmann, J., and Nebel, B. 2001. The FF planning system: Fast plan generation through heuristic search. Journal of Artificial Intelligence Research 14:263-302.
    • (2001) Journal of Artificial Intelligence Research , vol.14 , pp. 263-302
    • Hoffmann, J.1    Nebel, B.2
  • 11
    • 33744496081 scopus 로고    scopus 로고
    • A Heuristic Search Algorithm for Solving First-Order MDPs
    • Bacchus, F, and Jaakkola, T, eds, Edinburgh, Scotland: AUAI Press. ISBN-0-9749039-1-4
    • Karabaev, E., and Skvortsova, O. 2005. A Heuristic Search Algorithm for Solving First-Order MDPs. In Bacchus, F., and Jaakkola, T, eds., Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI'2005), 292-299. Edinburgh, Scotland: AUAI Press. ISBN-0-9749039-1-4.
    • (2005) Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI'2005) , pp. 292-299
    • Karabaev, E.1    Skvortsova, O.2
  • 12
    • 80052601300 scopus 로고    scopus 로고
    • A hybridized planner for stochastic domains
    • Mausam; Bertoli, P.; and Weld, D. S. 2007. A hybridized planner for stochastic domains. In IJCAI.
    • (2007) IJCAI
    • Mausam1    Bertoli, P.2    Weld, D.S.3
  • 21
    • 85163449161 scopus 로고    scopus 로고
    • Ppddl1.0: An extension to pddl for expressing planning domains with probabilistic effects. In Technical Report CMU-CS-04-162
    • Younes, H. L. S., and Littman, M. L. 2004b. Ppddl1.0: An extension to pddl for expressing planning domains with probabilistic effects. In Technical Report CMU-CS-04-162.
    • (2004)
    • Younes, H.L.S.1    Littman, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.