AAAI Publications, Twenty-Seventh International Conference on Automated Planning and Scheduling

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A State-Space Acyclicity Property for Exponentially Tighter Plan Length Bounds
Mohammad Abdulaziz, Charles Gretton, Michael Norrish

Last modified: 2017-06-05


We investigate compositional bounding of transition system diameters, with application in bounding the lengths of plans. We establish usefully-tight bounds by exploiting acyclicity in state-spaces. We provide mechanised proofs in HOL4 of the validity of our approach. Evaluating our bounds in a range of benchmarks, we demonstrate exponentially tighter upper bounds compared to existing methods. Treating both solvable and unsolvable benchmark problems, we also demonstrate the utility of our bounds in boosting planner performance. We enhance an existing planning procedure to use our bounds, and demonstrate significant coverage improvements, both compared to the base planner, and also in comparisons with state-of-the-art systems.

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