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Volumn 178, Issue , 2008, Pages 573-577

Combining domain-independent planning and HTN planning: The duet planner

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC ALGORITHMS;

EID: 85051980250     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-58603-891-5-573     Document Type: Conference Paper
Times cited : (18)

References (17)
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  • 2
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    • Fast planning through planning graph analysis
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  • 3
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    • Planning as heuristic search: New results
    • Durham, UK
    • B. Bonet and H. Geffner, ‘Planning as heuristic search: New results’, in ECP, Durham, UK, (1999).
    • (1999) ECP
    • Bonet, B.1    Geffner, H.2
  • 4
    • 31144471495 scopus 로고    scopus 로고
    • Macro-ff: Improving ai planning with automatically learned macro-operators
    • Adi Botea, Markus Enzenberger, Martin Muller, and Jonathan Scha-effer, ‘Macro-ff: Improving ai planning with automatically learned macro-operators’, JAIR, 24, 581–621, (2005).
    • (2005) JAIR , vol.24 , pp. 581-621
    • Botea, A.1    Enzenberger, M.2    Muller, M.3    Scha-Effer, J.4
  • 5
    • 33749015487 scopus 로고    scopus 로고
    • Temporal planning using subgoal partitioning and resolution in SGPlan
    • Y. Chen, C. Hsu, and B. Wah, ‘Temporal planning using subgoal partitioning and resolution in SGPlan’, JAIR, 26, 323–369, (2006).
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    • Chen, Y.1    Hsu, C.2    Wah, B.3
  • 6
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    • O-Plan: The open planning architecture
    • K. Currie and A. Tate, ‘O-Plan: The open planning architecture’, Artificial Intelligence, 52(1), 49–86, (1991).
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    • Currie, K.1    Tate, A.2
  • 7
    • 2842560201 scopus 로고
    • Strips: A new approach to the application of theorem proving to problem solving
    • R. E. Fikes and N. Nilsson, ‘Strips: A new approach to the application of theorem proving to problem solving’, Artificial Intelligence, 5(2), 189–208, (1971).
    • (1971) Artificial Intelligence , vol.5 , Issue.2 , pp. 189-208
    • Fikes, R.E.1    Nilsson, N.2
  • 8
    • 13444258399 scopus 로고    scopus 로고
    • Planning through stochastic local search and temporal action graphs
    • A. Gerevini, A. Saetti, and I. Serina, ‘Planning through Stochastic Local Search and Temporal Action Graphs’, JAIR, 20, 239–290, (2003).
    • (2003) JAIR , vol.20 , pp. 239-290
    • Gerevini, A.1    Saetti, A.2    Serina, I.3
  • 10
    • 33749001469 scopus 로고    scopus 로고
    • The fast downward planning system
    • M. Helmert, ‘The Fast Downward planning system’, JAIR, 26, 191–246, (2006).
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  • 11
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    • The FF planning system: Fast plan generation through heuristic search
    • J. Hoffmann and B. Nebel, ‘The FF planning system: Fast plan generation through heuristic search’, JAIR, 14, 253–302, (2001).
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    • Hoffmann, J.1    Nebel, B.2
  • 12
    • 85167429905 scopus 로고    scopus 로고
    • Model-lite planning for the web age masses: The challenges of planning with incomplete and evolving domain theories
    • Vancouver, Canada
    • S. Kambhampati, ‘Model-lite planning for the web age masses: The challenges of planning with incomplete and evolving domain theories’, in AAAI, Vancouver, Canada, (2007).
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    • Kambhampati, S.1
  • 15
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    • Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search
    • N. Nguyen, S. Kambhampati, and R. Nigenda, ‘Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search’, Artificial Intelligence, 135(1-2), 73 – 124, (2002).
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  • 16
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    • Towards model-lite planning: A proposal for learning and planning with incomplete domain models
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    • S. Yoon and S. Kambhampati, ‘Towards Model-lite Planning: A Proposal For Learning & Planning with Incomplete Domain Models’, in Proc. ICAPS-07 Workshop on AI Planning and Learning, Providence, RI, (2007).
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    • Yoon, S.1    Kambhampati, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.