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Volumn , Issue , 2011, Pages 250-257

Learning inadmissible heuristics during search

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DOMAINS; BEST FIRST SEARCH; OFF-LINE TRAINING; OPTIMAL SEARCH; OPTIMALITY; PRE-COMPUTATION; SEARCH ALGORITHMS; SPECIFIC PROBLEMS;

EID: 80052791976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (80)

References (19)
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    • Bramanti-Gregor, A.1    Davis, H.2
  • 3
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    • A unified theory of heuristic evaluation functions and its application to learning
    • Christensen, J., and Korf, R. 1986. A unified theory of heuristic evaluation functions and its application to learning. In AAAI-86, 148-152.
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    • Christensen, J.1    Korf, R.2
  • 5
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    • Online learning of search heuristics
    • Fink, M. 2007. Online learning of search heuristics. In AISTATS.
    • (2007) AISTATS
    • Fink, M.1
  • 8
    • 0036147811 scopus 로고    scopus 로고
    • Disjoint pattern database heuristics
    • DOI 10.1016/S0004-3702(01)00092-3, PII S0004370201000923
    • Korf, R., and Felner, A. 2002. Disjoint pattern database heuristics. Artificial Intelligence 134:9-22. (Pubitemid 34086577)
    • (2002) Artificial Intelligence , vol.134 , Issue.1-2 , pp. 9-22
    • Korf, R.E.1    Felner, A.2
  • 9
    • 0343427568 scopus 로고
    • Iterative-deepening-A*: An optimal admissible tree search
    • Korf, R. E. 1985. Iterative-deepening-A*: An optimal admissible tree search. In IJCAI-85, 1034-1036.
    • (1985) IJCAI-85 , pp. 1034-1036
    • Korf, R.E.1
  • 10
    • 57749185643 scopus 로고    scopus 로고
    • ARA*: Anytime A* with provable bounds on sub-optimality
    • Likhachev, M.; Gordon, G.; and Thrun, S. 2003. ARA*: Anytime A* with provable bounds on sub-optimality. In NIPS-03.
    • (2003) NIPS-03
    • Likhachev, M.1    Gordon, G.2    Thrun, S.3
  • 12
    • 0345007698 scopus 로고
    • The avoidance of (relative) catastrophe, heuristic competence, genuine dynamic weighting and computation issues in heuristic problem solving
    • Pohl, I. 1973. The avoidance of (relative) catastrophe, heuristic competence, genuine dynamic weighting and computation issues in heuristic problem solving. In Proceedings of IJCAI-73, 12-17.
    • (1973) Proceedings of IJCAI-73 , pp. 12-17
    • Pohl, I.1
  • 13
    • 78650619991 scopus 로고    scopus 로고
    • The more the merrier: Combining heuristic estimators for satisficing planning
    • Röger, G., and Helmert, M. 2010. The more the merrier: Combining heuristic estimators for satisficing planning. In ICAPS-10, 246-249.
    • (2010) ICAPS-10 , pp. 246-249
    • Röger, G.1    Helmert, M.2
  • 16
    • 33847202724 scopus 로고
    • Learning to predict by the methods of temporal differences
    • Sutton, R. S. 1988. Learning to predict by the methods of temporal differences. Machine Learning 3:9-44.
    • (1988) Machine Learning , vol.3 , pp. 9-44
    • Sutton, R.S.1
  • 17
    • 58849157815 scopus 로고    scopus 로고
    • Faster than weighted A*: An optimistic approach to bounded suboptimal search
    • Thayer, J. T., and Ruml, W. 2008. Faster than weighted A*: An optimistic approach to bounded suboptimal search. In ICAPS-08.
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    • Thayer, J.T.1    Ruml, W.2
  • 18
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    • Using distance estimates in heuristic search
    • Thayer, J., and Ruml, W. 2009. Using distance estimates in heuristic search. In Proceedings of ICAPS-09.
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    • Thayer, J.1    Ruml, W.2
  • 19
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    • Simultaneously searching with multiple settings: An alternative to parameter tuning for suboptimal single-agent search algorithms
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    • (2010) ICAPS-10
    • Valenzano, R.1    Sturtevant, N.2    Schaeffer, J.3    Buro, K.4    Kishimoto, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.