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AAAI 2018

totSAT – Totally-Ordered Hierarchical Planning Through SAT

Conference Paper Main Track: Planning and Scheduling Artificial Intelligence

Abstract

In this paper, we propose a novel SAT-based planning approach for hierarchical planning by introducing the SATbased planner totSAT for the class of totally-ordered HTN planning problems. We use the same general approach as SAT planning for classical planning does: bound the problem, translate the problem into a formula, and if the formula is not satisfiable, increase the bound. In HTN planning, a suitable bound is the maximum depth of decomposition. We show how totally-ordered HTN planning problems can be translated into a SAT formula, given this bound. Furthermore, we have conducted an extensive empirical evaluation to compare our new planner against state-of-the-art HTN planners. It shows that our technique outperforms any of these systems.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
174837205754178107
v2026.09.13