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arXiv · 2312.09963

Symbolic Numeric Planning with Patterns

Matteo Cardellini·Enrico Giunchiglia·Marco Maratea
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Abstract

In this paper, we propose a novel approach for solving linear numeric planning problems, called Symbolic Pattern Planning. Given a planning problem $\Pi$, a bound $n$ and a pattern -- defined as an arbitrary sequence of actions -- we encode the problem of finding a plan for $\Pi$ with bound $n$ as a formula with fewer variables and/or clauses than the state-of-the-art rolled-up and relaxed-relaxed-$\exists$ encodings. More importantly, we prove that for any given bound, it is never the case that the latter two encodings allow finding a valid plan while ours does not. On the experimental side, we consider 6 other planning systems -- including the ones which participated in this year's International Planning Competition (IPC) -- and we show that our planner Patty has remarkably good comparative performances on this year's IPC problems.

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Matteo Cardellini, Enrico Giunchiglia, Marco Maratea. 2023-12-15. Symbolic Numeric Planning with Patterns. https://doi.org/10.1609/aaai.v38i18.29985

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