Table of ContentsRefinement Planning: Status and Prospectus Overview Planning & Classical Planning Modeling Classical Planning The many brands of classical planners Overview Refinement Planning: Overview Partial Plans: Syntax Partial Plans: Syntax Partial Plans: Semantics PPT Slide Refinement Strategies Refinement Planning Template Combining Refinement with Search Overview Forward State-space Refinement Goal-directed State-space Refinements Position, Relevance and Commitment PPT Slide PSR with non-primitive actions Tractability Refinements Interleaving Refinements Overview Asymptotic Tradeoffs Empirical Evaluation of Tradeoffs Subgoal Interactions and Planner Selection Overview Improving Performance through Customization Reducing Search through Disjunctive Representations Disjunctive Representations Controlling Refinement through constraint propagation Planning with Disjunctive Representations Conclusion Research Issues Acknowledgments Refinement Planning: Status and Prospectus PPT Slide Tractability Refinements Tractability Refinements (contd.) References: Unifying Classical Planning Approaches (with Srivastava, 1996) ASU CSE TR 96-006 Planning as refinement search: A unified framework for evaluating design tradeoffs in partial order planning (with Knoblock and Yang, 1995) Artificial Intelligence, 1995. Comparing partial order planning and task reduction planning SIGART Bulletin, 1995. PPT Slide Progression and Regression Forward State-space Refinement (FSR) Goal Directed State-Space Refinements Backward State-space Refinement (BSR) Plan-space refinement Controlled Splitting Refinement Strategies PPT Slide PPT Slide Advantages of the Unified View Existing plan-space planners |
Author: MBE
Email: rao@asu.edu Home Page: http://rakaposhi.eas.asu.edu/yochan.html |