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

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Symmetry Breaking: Satisficing Planning and Landmark Heuristics
Carmel Domshlak, Michael Katz, Alexander Shleyfman

Last modified: 2013-06-02

Abstract


Searching for computational tools that can further push the boundary of satisficing planning, we show that reasoning about state-space symmetries can substantially improve even the most effective heuristic-search satisficing planners, with respect to all standard performance measures. The improvement comes from the state-space pruning, as well as from transparent cost-to-state updates and heuristic enhancement by information obtained during the search at different symmetric states.

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