Pseudo-Boolean Proof Logging for Optimal Classical Planning

Authors

  • Simon Dold University of Basel
  • Malte Helmert University of Basel
  • Jakob Nordström University of Copenhagen Lund University
  • Gabriele Röger University of Basel
  • Tanja Schindler University of Basel

DOI:

https://doi.org/10.1609/icaps.v35i1.36101

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 A* algorithm to produce proofs of optimality with modest overhead, using pattern database heuristics and hmax as concrete examples. The same proof logging approach works for any heuristic whose inferences can be efficiently expressed as reasoning over pseudo-Boolean constraints.

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Published

2025-09-16

How to Cite

Dold, S., Helmert, M., Nordström, J., Röger, G., & Schindler, T. (2025). Pseudo-Boolean Proof Logging for Optimal Classical Planning. Proceedings of the International Conference on Automated Planning and Scheduling, 35(1), 54-63. https://doi.org/10.1609/icaps.v35i1.36101