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Volumn , Issue , 2008, Pages 288-295

What makes planners predictable?

Author keywords

[No Author keywords available]

Indexed keywords

BENCH-MARK PROBLEMS; DOMAIN FEATURES; PERFORMANCE DATUM; PROBLEM STRUCTURES; RUN-TIME; SEARCH SPACES; TRAINING DATUM; UNDERLYING CAUSE;

EID: 58849113596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (17)
  • 1
    • 0035442648 scopus 로고    scopus 로고
    • Aips'00 planning competition
    • Bacchus, F. 2001. Aips'00 planning competition. AI Magazine 3(22):47-56.
    • (2001) AI Magazine , vol.3 , Issue.22 , pp. 47-56
    • Bacchus, F.1
  • 4
    • 33746067113 scopus 로고    scopus 로고
    • Helmert, M. 2006b. New complexity results for classical planning benchmarks. In Proc. of the ICAPS-06. AAAI Press, Menlo Park, California. Cumbria, UK. June 6-10., 52-61.
    • Helmert, M. 2006b. New complexity results for classical planning benchmarks. In Proc. of the ICAPS-06. AAAI Press, Menlo Park, California. Cumbria, UK. June 6-10., 52-61.
  • 6
    • 84880900212 scopus 로고    scopus 로고
    • Local search topology in planning benchmarks: An empirical analysis
    • Seattle, Washington, USA: Kaufmann
    • Hoffmann, J. 2001. Local search topology in planning benchmarks: An empirical analysis. In Proceedings of IJ-CAI'01., 453-458. Seattle, Washington, USA: Kaufmann.
    • (2001) Proceedings of IJ-CAI'01 , pp. 453-458
    • Hoffmann, J.1
  • 8
    • 31144454040 scopus 로고    scopus 로고
    • Where ignoring delete lists works: Local search topology in planning benchmarks
    • Hoffmann, J. 2005. Where ignoring delete lists works: Local search topology in planning benchmarks. Journal of Artificial Intelligence Research 24:685-758.
    • (2005) Journal of Artificial Intelligence Research , vol.24 , pp. 685-758
    • Hoffmann, J.1
  • 9
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • Holte, R. C. 1993. Very simple classification rules perform well on most commonly used datasets. Machine Learning 3:63-91.
    • (1993) Machine Learning , vol.3 , pp. 63-91
    • Holte, R.C.1
  • 12
    • 9444231507 scopus 로고    scopus 로고
    • The 3rd international planning competition: Results and analysis
    • Long, D., and Fox, M. 2003. The 3rd international planning competition: Results and analysis. Journal of Artificial Intelligence Research 20:1-59.
    • (2003) Journal of Artificial Intelligence Research , vol.20 , pp. 1-59
    • Long, D.1    Fox, M.2
  • 14
    • 57149091171 scopus 로고    scopus 로고
    • from planner performance. Artificial Intelligence, forthcoming
    • Roberts, M., and Howe, A. forthcoming. Learning from planner performance. Artificial Intelligence.
    • Learning
    • Roberts, M.1    Howe, A.2
  • 15
    • 0000271839 scopus 로고
    • Algorithm 39 Clusterwise linear regression
    • Spath, H. 1979. Algorithm 39 Clusterwise linear regression. Computing 22(4):367-373.
    • (1979) Computing , vol.22 , Issue.4 , pp. 367-373
    • Spath, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.