Landmarks for Numeric Planning Problems
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Scala, Enrico
Haslum, Patrik
Magazzeni, Daniele
Thiebaux, Sylvie
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International Joint Conferences on Artificial Intelligence
Abstract
The paper generalises the notion of landmarks
for reasoning about planning problems involving
propositional and numeric variables. Intuitively,
numeric landmarks are regions in the metric space
defined by the problem whose crossing is necessary
for its resolution. The paper proposes a relaxationbased
method for their automated extraction directly
from the problem structure, and shows how
to exploit them to infer what we call disjunctive and
additive hybrid action landmarks. The justification
of such a disjunctive representation results from
the intertwined propositional and numeric structure
of the problem. The paper exercises their use in
two novel admissible LP-Based numeric heuristics,
and reports experiments on cost-optimal numeric
planning problems. Results show the heuristics are
more informed and effective than previous work for
problems involving a higher number of (sub)goals.
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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
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Open Access via publisher website
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Restricted until
2099-12-31
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