English

Pseudo-Boolean Proof Logging for Optimal Classical Planning

Artificial Intelligence 2025-05-06 v2

Abstract

We introduce lower-bound certificates for classical planning tasks, which can be used to prove the unsolvability of a task or the optimality of a plan in a way that can be verified by an independent third party. We describe a general framework for generating lower-bound certificates based on pseudo-Boolean constraints, which is agnostic to the planning algorithm used. As a case study, we show how to modify the AA^{*} algorithm to produce proofs of optimality with modest overhead, using pattern database heuristics and hmaxh^\textit{max} as concrete examples. The same proof logging approach works for any heuristic whose inferences can be efficiently expressed as reasoning over pseudo-Boolean constraints.

Keywords

Cite

@article{arxiv.2504.18443,
  title  = {Pseudo-Boolean Proof Logging for Optimal Classical Planning},
  author = {Simon Dold and Malte Helmert and Jakob Nordström and Gabriele Röger and Tanja Schindler},
  journal= {arXiv preprint arXiv:2504.18443},
  year   = {2025}
}

Comments

35th International Conference on Automated Planning and Scheduling (ICAPS'2025)

R2 v1 2026-06-28T23:11:33.267Z