메뉴 건너뛰기




Volumn 113, Issue 1, 1999, Pages 125-148

Learning action strategies for planning domains

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DECISION THEORY; FORMAL LOGIC; HEURISTIC METHODS; LEARNING ALGORITHMS; PLANNING; PROBLEM SOLVING;

EID: 0033189384     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(99)00060-0     Document Type: Article
Times cited : (110)

References (48)
  • 5
    • 0001657540 scopus 로고
    • Fast planning through planning graph analysis
    • Montreal, Quebec
    • A. Blum, M. Furst, Fast planning through planning graph analysis, in: Proc. IJCAI-95, Montreal, Quebec, 1995, pp. 1636-1642.
    • (1995) Proc. IJCAI-95 , pp. 1636-1642
    • Blum, A.1    Furst, M.2
  • 6
    • 0028498153 scopus 로고
    • The computational complexity of propositional STRIPS planning
    • T. Bylander, The computational complexity of propositional STRIPS planning, Artificial Intelligence 69 (1994) 165-204.
    • (1994) Artificial Intelligence , vol.69 , pp. 165-204
    • Bylander, T.1
  • 7
    • 0002227762 scopus 로고
    • Penguins can make cake
    • D. Chapman, Penguins can make cake, AI Magazine 10 (4) (1989) 45-50.
    • (1989) AI Magazine , vol.10 , Issue.4 , pp. 45-50
    • Chapman, D.1
  • 8
    • 6244261550 scopus 로고
    • On the NP-hardness of blocks world
    • Anaheim, CA
    • S.V. Chenoweth, On the NP-hardness of blocks world, in: Proc. AAAI-91, Anaheim, CA, 1991, pp. 623-628.
    • (1991) Proc. AAAI-91 , pp. 623-628
    • Chenoweth, S.V.1
  • 9
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark, T. Niblett, The CN2 induction algorithm, Machine Learning 3 (1989) 261-283.
    • (1989) Machine Learning , vol.3 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 10
    • 85059770931 scopus 로고
    • The complexity of theorem proving procedures
    • Shaker Heights, OH, ACM Press
    • S.A. Cook, The complexity of theorem proving procedures, in: Proc. 3rd Annual ACM Symposium on the Theory of Computing, Shaker Heights, OH, ACM Press, 1971, pp. 151-158.
    • (1971) Proc. 3rd Annual ACM Symposium on the Theory of Computing , pp. 151-158
    • Cook, S.A.1
  • 11
    • 0000017646 scopus 로고
    • Explanation based learning: An alternative view
    • G. DeJong, R. Mooney, Explanation based learning: An alternative view, Machine Learning 1 (1986) 145-176.
    • (1986) Machine Learning , vol.1 , pp. 145-176
    • DeJong, G.1    Mooney, R.2
  • 12
    • 0027704493 scopus 로고
    • Matching 100,000 learned rules
    • Washington, DC
    • R.B. Doorenbos, Matching 100,000 learned rules, in: Proc. AAAI-93, Washington, DC, 1993, pp. 290-296.
    • (1993) Proc. AAAI-93 , pp. 290-296
    • Doorenbos, R.B.1
  • 13
    • 0030359048 scopus 로고    scopus 로고
    • Multi-strategy learning of search control for partial-order planning
    • Portland, OR
    • T.A. Estlin, R.J. Mooney, Multi-strategy learning of search control for partial-order planning, in: Proc. AAAI-96, Portland, OR, 1996, pp. 843-848.
    • (1996) Proc. AAAI-96 , pp. 843-848
    • Estlin, T.A.1    Mooney, R.J.2
  • 14
    • 0027643027 scopus 로고
    • Acquiring search-control knowledge via static analysis
    • O. Etzioni, Acquiring search-control knowledge via static analysis, Artificial Intelligence 62 (1993) 255-301.
    • (1993) Artificial Intelligence , vol.62 , pp. 255-301
    • Etzioni, O.1
  • 15
    • 2842560201 scopus 로고
    • STRIPS: A new approach to the application of theorem proving to problem solving
    • R.E. Fikes, N. Nilsson, STRIPS: A new approach to the application of theorem proving to problem solving, Artificial Intelligence 2 (1971) 189-208.
    • (1971) Artificial Intelligence , vol.2 , pp. 189-208
    • Fikes, R.E.1    Nilsson, N.2
  • 16
    • 0024885107 scopus 로고
    • Universal planning: An (almost) universally bad idea
    • M. Ginsberg, Universal planning: An (almost) universally bad idea, AI Magazine 10 (4) (1989) 40-44.
    • (1989) AI Magazine , vol.10 , Issue.4 , pp. 40-44
    • Ginsberg, M.1
  • 18
    • 0008495141 scopus 로고
    • Complexity results for blocks world planning
    • Anaheim, CA, AAAI Press
    • N. Gupta, D.S. Nau, Complexity results for blocks world planning, in: Proc. AAAI-91, Anaheim, CA, AAAI Press, 1991, pp. 629-633.
    • (1991) Proc. AAAI-91 , pp. 629-633
    • Gupta, N.1    Nau, D.S.2
  • 20
    • 0030352389 scopus 로고    scopus 로고
    • Pushing the envelope: Planning, propositional logic, and stochastic search
    • Portland, OR
    • H. Kautz, B. Selman, Pushing the envelope: Planning, propositional logic, and stochastic search, in: Proc. AAAI-96, Portland, OR, 1996, pp. 1194-1201.
    • (1996) Proc. AAAI-96 , pp. 1194-1201
    • Kautz, H.1    Selman, B.2
  • 21
    • 0028460231 scopus 로고
    • Efficient distribution-free learning of probabilistic concepts
    • M.J. Kearns, R.E. Schapire, Efficient distribution-free learning of probabilistic concepts, J. Comput. System Sci. 48 (1994) 464-497.
    • (1994) J. Comput. System Sci. , vol.48 , pp. 464-497
    • Kearns, M.J.1    Schapire, R.E.2
  • 22
    • 0008452397 scopus 로고    scopus 로고
    • L2ACT: User manual
    • Aiken Computation Lab., Harvard University
    • R. Khardon, L2ACT: User manual, Technical Report TR-10-97, Aiken Computation Lab., Harvard University, 1997.
    • (1997) Technical Report TR-10-97
    • Khardon, R.1
  • 23
    • 0032649290 scopus 로고    scopus 로고
    • Learning to take actions
    • R. Khardon, Learning to take actions, Machine Learning 35 (1) (1999) 57-90.
    • (1999) Machine Learning , vol.35 , Issue.1 , pp. 57-90
    • Khardon, R.1
  • 24
    • 0002982589 scopus 로고
    • Chunking in soar: The anatomy of a general learning mechanism
    • J.E. Laird, P.S. Rosenbloom, A. Newell, Chunking in soar: The anatomy of a general learning mechanism, Machine Learning 1 (1986) 11-46.
    • (1986) Machine Learning , vol.1 , pp. 11-46
    • Laird, J.E.1    Rosenbloom, P.S.2    Newell, A.3
  • 25
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littlestone, Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm, Machine Learning 2 (1988) 285-318.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 27
    • 0025398889 scopus 로고
    • Quantitative results concerning the utility of explanation based learning
    • S. Minton, Quantitative results concerning the utility of explanation based learning, Artificial Intelligence 42 (1990) 363-391.
    • (1990) Artificial Intelligence , vol.42 , pp. 363-391
    • Minton, S.1
  • 30
    • 0028429573 scopus 로고
    • Inductive logic programming: Theory and methods
    • S. Muggleton, L. De Raedt, Inductive logic programming: Theory and methods, J. Logic Programming 20 (1994) 626-679.
    • (1994) J. Logic Programming , vol.20 , pp. 626-679
    • Muggleton, S.1    De Raedt, L.2
  • 31
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • J.R. Quinlan, Learning logical definitions from relations, Machine Learning 5 (1990) 239-266.
    • (1990) Machine Learning , vol.5 , pp. 239-266
    • Quinlan, J.R.1
  • 32
    • 0008472635 scopus 로고    scopus 로고
    • Theory guided empirical speedup learning of goal decomposition rules
    • Bari, Italy, Morgan Kaufmann, San Mateo, CA
    • C. Reddy, P. Tadepalli, S. Roncagliolo, Theory guided empirical speedup learning of goal decomposition rules, in: Proc. International Conference on Machine Learning, Bari, Italy, Morgan Kaufmann, San Mateo, CA, 1996, pp. 409-416.
    • (1996) Proc. International Conference on Machine Learning , pp. 409-416
    • Reddy, C.1    Tadepalli, P.2    Roncagliolo, S.3
  • 33
    • 1442267080 scopus 로고
    • Learning decision lists
    • R.L. Rivest, Learning decision lists, Machine Learning 2 (3) (1987) 229-246.
    • (1987) Machine Learning , vol.2 , Issue.3 , pp. 229-246
    • Rivest, R.L.1
  • 35
    • 0001871991 scopus 로고
    • Universal plans for reactive robots in unpredictable domains
    • Milan, Italy, Morgan Kaufmann, San Mateo, CA
    • M. Schoppers, Universal plans for reactive robots in unpredictable domains, in: Proc. IJCAI-87, Milan, Italy, Morgan Kaufmann, San Mateo, CA, 1987, pp. 1039-1046.
    • (1987) Proc. IJCAI-87 , pp. 1039-1046
    • Schoppers, M.1
  • 36
    • 0008487586 scopus 로고
    • In defense of reaction plans as caches
    • M. Schoppers, In defense of reaction plans as caches, AI Magazine 10 (4) (1989) 51-62.
    • (1989) AI Magazine , vol.10 , Issue.4 , pp. 51-62
    • Schoppers, M.1
  • 38
    • 0030352105 scopus 로고    scopus 로고
    • Linear time near-optimal planning in the blocks world
    • Portland, OR, AAAI Press
    • J. Slaney, S. Thiebaux, Linear time near-optimal planning in the blocks world, in: Proc. AAAI-96, Portland, OR, AAAI Press, 1996, pp. 1208-1214.
    • (1996) Proc. AAAI-96 , pp. 1208-1214
    • Slaney, J.1    Thiebaux, S.2
  • 39
    • 33847202724 scopus 로고
    • Learning to predict by the methods of temporal differences
    • R.S. Sutton, Learning to predict by the methods of temporal differences, Machine Learning 3 (1) (1988) 9-44.
    • (1988) Machine Learning , vol.3 , Issue.1 , pp. 9-44
    • Sutton, R.S.1
  • 40
    • 0008474523 scopus 로고
    • A formalization of explanation based macro-operator learning
    • Sydney, Australia, Morgan Kaufmann, San Mateo, CA
    • P. Tadepalli, A formalization of explanation based macro-operator learning, in: Proc. IJCAI-91, Sydney, Australia, Morgan Kaufmann, San Mateo, CA, 1991, pp. 616-622.
    • (1991) Proc. IJCAI-91 , pp. 616-622
    • Tadepalli, P.1
  • 41
    • 0029679130 scopus 로고    scopus 로고
    • A formal framework for speedup learning from problems and solutions
    • P. Tadepalli, B. Natarajan, A formal framework for speedup learning from problems and solutions, J. Artificial Intelligence Res. 4 (1996) 445-475.
    • (1996) J. Artificial Intelligence Res. , vol.4 , pp. 445-475
    • Tadepalli, P.1    Natarajan, B.2
  • 42
    • 0002202594 scopus 로고
    • Learning disjunctions of conjunctions
    • Los Angeles, CA, Morgan Kaufmann, San Mateo, CA
    • L.G. Valiant, Learning disjunctions of conjunctions, in: Proc. IJCAI-85, Los Angeles, CA, Morgan Kaufmann, San Mateo, CA, 1985, pp. 560-566.
    • (1985) Proc. IJCAI-85 , pp. 560-566
    • Valiant, L.G.1
  • 45
    • 0004031010 scopus 로고
    • Ph.D. Thesis, School of Computer Science, Carnegie Mellon University. Also appeared as Technical Report CMU-CS-92-174
    • M. Veloso, Learning by Analogical Reasoning in General Problem Solving, Ph.D. Thesis, School of Computer Science, Carnegie Mellon University, 1992. Also appeared as Technical Report CMU-CS-92-174.
    • (1992) Learning by Analogical Reasoning in General Problem Solving
    • Veloso, M.1
  • 46
    • 0028557847 scopus 로고
    • Flexible strategy learning: Analogical replay of problem solving episodes
    • Seattle, WA
    • M. Veloso, Flexible strategy learning: Analogical replay of problem solving episodes, in: Proc. AAAI-94, Seattle, WA, 1994, pp. 595-600.
    • (1994) Proc. AAAI-94 , pp. 595-600
    • Veloso, M.1
  • 48
    • 0028750404 scopus 로고
    • An introduction to least commitment planning
    • D. Weld, An introduction to least commitment planning, AI Magazine 15 (4) (1994) 27-61.
    • (1994) AI Magazine , vol.15 , Issue.4 , pp. 27-61
    • Weld, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.