자동 계획수립을 위한 기계학습

  • 발행 : 2007.03.31

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키워드

참고문헌

  1. Avesani, P., Perini, A., and Ricci F., "Interactive Case-Based Planning for Forest Fire Management," Applied Intelligence, 13(1): 41-57, 2000 https://doi.org/10.1023/A:1008327312956
  2. Bennett, S. W. and DeJong, G. F., "Real- World Robotics: Learning to Plan for Robust Execution," Machine Learning 23(2-3): 121-161
  3. Bergmann, R. and Wilke, W., "On the Role of Abstractions in Case-Based Reasoning," Proc. of EWCBR- 96, 28-43, 1996
  4. Bhatnagar, N. and Mostow, J., "Online Learning from Search Failures," Machine Learning 15(1): 69-117, 1997
  5. Borrajo D. and Veloso, M., "Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans," Artificial Intelligence Review 11(1-5): 371-405, 1997 https://doi.org/10.1023/A:1006549800144
  6. Carbonell, Y. G. and Gil, Y., "Learning by Experimentation: The Operator Refinement Method," Machine Learning: An Artificial Intelligence Approach, Vol. 3, 191-213, 1990
  7. Dawson, C. and Siklossy, L., "The Role of Preprocessing in Problem-Solving Systems," Proc. of 5th Int. Joint Conf. on Artificial Intelligence, 465-471, 1997
  8. Dietterich, T. G. and Flann, N. S., "Explanation- Based Learning and Reinforcement Learning: A Unified View," Machine Learning 28: 169-210, 1997 https://doi.org/10.1023/A:1007355226281
  9. Do, B. and Kambhampati, S., "Planning as Constraint Satisfaction: Solving the Planning Graph by Compiling It into a CSP," Artificial Intelligence 132: 151-182, 2003 https://doi.org/10.1016/S0004-3702(01)00128-X
  10. Estlin, T. A. and Mooney, R. J., "Multi-Strategy Learning of Search Control for Partial-Order Planing," Proc. of 13th Nat. Conf. on Artificial Intelligence, 843-848, 1996
  11. Etzioni, O., "Acquiring Search-Control Knowledge via Static Analysis," Artificial Intelligence 62(2): 265-301, 1993
  12. Fikes, R. E., Hart, P., and Nilsson, N. J., "Learning and Executing Generalized Robot Plans," Artificial Intelligence 3: 251-288, 1972 https://doi.org/10.1016/0004-3702(72)90051-3
  13. Fox, M and Long, D., "Automatic Inference of State Invariants in TIM," Journal of Artificial Intelligence Research 9: 317-371, 1998 https://doi.org/10.1613/jair.530
  14. Garcia-Martinez, R. and Borrajo, D., "An Integrated Approach of Learning, Planning, and Execution," Journal of Intelligent and Robotic Systems 29(1): 47-78, 2000 https://doi.org/10.1023/A:1008134010576
  15. Gerevini, A. and Schbert, L., "Accelerating Partial- Order Planners: Some Techniques for Effective Search Control and Pruning," Journal of Artificial Intelligence Research 5: 95-137, 1996 https://doi.org/10.1613/jair.316
  16. Gil, Y., "Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains," Proc. 11th Int. Conf. on Machine Learning, 1994
  17. Gratch, J. and DeJong, G., "COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning," Proc. 10th Nat. Conf. on Artificial Intelligence, 235-240, 1992
  18. Hammond, K., Case-Based Planning: Viewing Planning as a Memory Task, Academic Press, 1989
  19. Hanks, S. and Weld, D., "A Domain-Independent Algorithm for Plan Adaptation," Journal of Artificial Intelligence Research 2: 319-360, 1995 https://doi.org/10.1613/jair.79
  20. Huang, Y., Kautz, H. and Selman, B., "Learning Declarative Control Rules for Constraint- Based Planning," Proc. 7th Int. Conf. on Machine Learning, 2000
  21. Ihrig, L. and Kambhampati, S., "Storing and Indexing Plan Derivations through Explanation Based Analysis of Retrieval Failures," Journal of Artificial Intelligence Research 7: 161-198, 1997
  22. Kambhampati, S., "Planning Graph as Dynamic CSP: Exploiting EBL, DDB, and Other CSP Techniques in GRAPHPLAN," Journal of Artificial Intelligence Research 12: 1-34, 2000
  23. Kambhampati, S and Hendler, J., "A Validation Structure-Based Theory of Plan Modification and Reuse," Artificial Intelligence 55(23) 193-258, 1992 https://doi.org/10.1016/0004-3702(92)90056-4
  24. Kambhampati, S and Katukam, Y. Q., "Failure-Driven Dynamic Search Control for Partial Order Planners: An Explanation-Based Approach," Artificial Intelligence 88(1-2): 253-315, 1996 https://doi.org/10.1016/S0004-3702(96)00005-7
  25. Kautz, H. and Selman, B., "BLACKBOX: Unifying SAT-Based and Graph-Based Planning," Proc. 16th Int. Conf. on Artificial Intelligence, 318-325, 1999
  26. Knoblock, C., "Learning Abstraction Hierarchies for Problem Solving," Proc. 8th Nat. Conf. on Artificial Intelligence, 923-928, 1990
  27. Leake, D., Kinley, A., and Wilson, D., "Acquring Case Adaptation Knowledge: A Hybrid Approach," Proc. 13th Nat. Conf. on Artificial Intelligence, 684-689, 1996
  28. Leckie, C, and Zuckerman, I., "Inductive Learning of Search Control Rules for Planning," Artificial Intelligence 101(1-2): 63-98, 1998 https://doi.org/10.1016/S0004-3702(98)00018-6
  29. Minton, S., Carbonell, J., Knoblock, C., Kuokka, D. R., Etzioni, O., and Gil, Y., "Explanation-Based Learning: A Problem-Solving Perspective," Artificial Intelligence 40: 63-118, 1989 https://doi.org/10.1016/0004-3702(89)90047-7
  30. Nebel, B., Dimopoulos, Y., and Koehler, J., "Ignoring Irrelevant Facts and Operators in Plan Generation," Proc. 4th European Conf. on Planning, 24-26, 1997
  31. Reddy, C. and Tadepalli, P., "Learning Horn Definitions: Theory and an Application to Planning," New Generation Computing 17(1): 77-98, 1999 https://doi.org/10.1007/BF03037583
  32. Sacerdoti, E., "Planning in a Hierarchy of Abstraction Spaces," Artificial Intelligence 5(2): 115-135, 1974 https://doi.org/10.1016/0004-3702(74)90026-5
  33. Schmill, M., Oates, T., and Cohen, P., "Learning Planning Operators in Real-World, Partially Observable Environments," Proc. 5th Conf. on Artificial Intelligence Planning Systems, 14-17, 2000
  34. Smith, D. and Peot, M., "Postponing Threats in Partial-Order Planning," Proc. 11th Nat. Conf. on Artificial Intelligence, 500-506, 1993
  35. Sutton, R., "Planning by Incremental Dynamic Programming," Proc. 8th Int. Conf. on Machine Learning, 353-357, 1991
  36. Veloso, M. and Carbonell, J., "Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization," Machine Learning 10(3): 249-278, 1993 https://doi.org/10.1023/A:1022686910523
  37. Wang, X., "A Multistrategy Learning Systems for Planning Operator Acquisition," Proc. 3rd Int. Workshop on Multistrategy Learning, 23-25, 1996
  38. Zimmerman, T. and kambhampati, S., "Exploiting Symmetry in the Planning Graph via Explanation- Guided Search," Proc. 16th Nat. Conf. on Artificial Intelligence, 18-22, 1999