Tight Bounds for Hybrid Planning

Abstract

Several hierarchical planning systems feature a rich level of language features making them capable of expressing real-world problems. One such feature that's used by several current planning systems is causal links, which are used to track search progress. The formalism combining Hierarchical Task Network (HTN) planning with these links known from Partial Order Causal Link (POCL) planning is often referred to as hybrid planning. In this paper we study the computational complexity of such hybrid planning problems. More specifically, we provide missing membership results to existing hardness proofs and thereby provide tight complexity bounds for all known subclasses of hierarchical planning problems. We also re-visit and correct a result from the literature for plan verification showing that it remains NP-complete even in the absence of a task hierarchy.

Cite

Text

Bercher et al. "Tight Bounds for Hybrid Planning." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/638

Markdown

[Bercher et al. "Tight Bounds for Hybrid Planning." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/bercher2022ijcai-tight/) doi:10.24963/IJCAI.2022/638

BibTeX

@inproceedings{bercher2022ijcai-tight,
  title     = {{Tight Bounds for Hybrid Planning}},
  author    = {Bercher, Pascal and Lin, Songtuan and Alford, Ron},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {4597-4605},
  doi       = {10.24963/IJCAI.2022/638},
  url       = {https://mlanthology.org/ijcai/2022/bercher2022ijcai-tight/}
}