Exploiting Solution Order Graphs and Path Decomposition Trees for More Efficient HTN Plan Verification via SAT Solving. Lin, S., Behnke, G., & Bercher, P. In Proceedings of the 5th ICAPS Workshop on Hierarchical Planning (HPlan 2022), pages 24–28, 2022.
Exploiting Solution Order Graphs and Path Decomposition Trees for More Efficient HTN Plan Verification via SAT Solving [pdf]Paper  Exploiting Solution Order Graphs and Path Decomposition Trees for More Efficient HTN Plan Verification via SAT Solving [pdf]Poster  Exploiting Solution Order Graphs and Path Decomposition Trees for More Efficient HTN Plan Verification via SAT Solving [link]Presentation  abstract   bibtex   18 downloads  
The research on the plan verification problem has drawn increasing attention in the last few years. It can serve as an approach for validating a planning domain by viewing an input plan as a test case which is supposed to be a solution to a planning problem in the domain which is to be validated. In this paper, we study the plan verification problem in the context of Hierarchical Task Network (HTN) planning. Concretely, we will develop an SAT-based approach via exploiting the data structures solution order graphs and path decomposition trees employed by the state-of-the-art SAT-based HTN planner which transforms an HTN plan verification problem into an SAT formula. Additionally, for the purpose of completeness, we will also reimplement the old SAT-based plan verifier within an outdated planning system called PANDA-3 and integrate it into the new version called PANDA-pi.

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