Paper

Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding

While HTN planning has received significant attention in recent years, support for numerical reasoning remains very limited. In this paper, we investigate numerical Totally-Ordered HTN (TOHTN) planning and show how standard SAT-based encodings can be naturally extended with SMT to handle numeric fluents. In addition, we introduce a benchmark suite for numerical TOHTN planning, providing a first common basis for evalu · Authors: Gaspard Quenard, Takudzwa Togarepi, Damien Pellier, Humbert Fiorino · Published 2026-09-03 · arXiv:2609.03938

Published
2026-09-03
Authors
4
arXiv
2609.03938
Category
cs.AI

Abstract

arXiv:2609.03938

Gaspard Quenard, Takudzwa Togarepi, Damien Pellier, Humbert Fiorino

While HTN planning has received significant attention in recent years, support for numerical reasoning remains very limited. In this paper, we investigate numerical Totally-Ordered HTN (TOHTN) planning and show how standard SAT-based encodings can be naturally extended with SMT to handle numeric fluents. In addition, we introduce a benchmark suite for numerical TOHTN planning, providing a first common basis for evaluation in this setting. Experimental results show that this simple encoding already constitutes a competitive baseline. This work opens the way to more expressive approaches to HTN planning.