Lose the Order, Keep the Hierarchy: Deordering HTN Plans
Quick summary
arXiv:2609.03912v1 Announce Type: new Abstract: Hierarchical Task Network (HTN) planning is a powerful planning formalism based on task decomposition. Although most of the literature studied plan generation, comparatively less attention has been paid to post-plan optimization. In particular, plan deordering has been extensively studied in classical planning but remains under-researched in the HTN setting. Plan deordering removes unnecessary ordering constraints between actions in a plan whilst keeping the plan valid. In this paper, we adapt two established plan deordering techniques from class
Key takeaways
- arXiv:2609.03912v1 Announce Type: new Abstract: Hierarchical Task Network (HTN) planning is a powerful planning formalism based on task decomposition.
- Although most of the literature studied plan generation, comparatively less attention has been paid to post-plan optimization.
- In particular, plan deordering has been extensively studied in classical planning but remains under-researched in the HTN setting.
Why it matters
“Lose the Order, Keep the Hierarchy: Deordering HTN Plans” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.
Member comments