Design and Implementation of a Replay Framework Based on a Partial Order Planner
暂无分享,去创建一个
[1] Kristian J. Hammond,et al. Explaining and Repairing Plans that Fail , 1987, IJCAI.
[2] Subbarao Kambhampati,et al. Failure Driven Dynamic Search Control for Partial Order Planners: An Explanation Based Approach , 1996, Artif. Intell..
[3] Steven Minton. Issues in the Design of Operator Composition Systems , 1990, ML.
[4] Ashwin Ram,et al. A Comparitive Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems , 1995, ECML.
[5] Steven Minton,et al. Quantitative Results Concerning the Utility of Explanation-based Learning , 1988, Artif. Intell..
[6] Laurie H. Ihrig. The design and implementation of a case-based planning framework within a partial-order planner , 1996 .
[7] Anthony Barrett,et al. Partial-Order Planning: Evaluating Possible Efficiency Gains , 1994, Artificial Intelligence.
[8] Jana Koehler,et al. Avoiding Pitfalls in Case-based Planning , 1994, AIPS.
[9] Steven Minton,et al. Machine Learning Methods for Planning , 1994 .
[10] Subbarao Kambhampati,et al. Derivation Replay for Partial-Order Planning , 1994, AAAI.
[11] Jaime G. Carbonell,et al. Derivational analogy: a theory of reconstructive problem solving and expertise acquisition , 1993 .
[12] Kristian J. Hammond,et al. CHEF: A Model of Case-Based Planning , 1986, AAAI.
[13] Subbarao Kambhampati,et al. Learning Expla sed Search Control Rules For Partial Order Planning , 1994 .
[14] James A. Hendler,et al. A Validation-Structure-Based Theory of Plan Modification and Reuse , 1992, Artif. Intell..
[15] Subbarao Kambhampati,et al. An explanation-based approach to improve retrieval in case-based planning , 1996 .
[16] Jaime G. Carbonell,et al. Control Knowledge to Improve Plan Quality , 1994, AIPS.
[17] Jack Mostow,et al. Failsafe - A Floor Planner that Uses EBG to Learn from Its Failures , 1987, IJCAI.
[18] Subbarao Kambhampati,et al. EXPLOITING CAUSAL STRUCTURE TO CONTROL RETRIEVAL AND REFITTING DURING PLAN REUSE , 1994, Comput. Intell..
[19] Manuela Veloso. Learning by analogical reasoning in general problem-solving , 1992 .
[20] Jaime G. Carbonell,et al. Toward Scaling Up Machine Learning: A Case Study with Derivational Analogy in PRODIGY , 1993 .