Higher-Dimensional Potential Heuristics for Optimal Classical Planning

AAAI, pp. 3636-3643, 2017.

Cited by: 9|Bibtex|Views14
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Potential heuristics for state-space search are defined as weighted sums over simple state features. Atomic features consider the value of a single state variable in a factored state representation, while binary features consider joint assignments to two state variables. Previous work showed that the set of all admissible and consistent p...More

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