On Succinct Groundings of HTN Planning Problems

On Succinct Groundings of HTN Planning Problems. Behnke, G., Höller, D., Schmid, A., Bercher, P., & Biundo, S. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pages 9775–9784, 2020. AAAI Press.

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Both search-based and translation-based planning systems usually operate on grounded representations of the problem. Planning models, however, are commonly defined using lifted description languages. Thus, planning systems usually generate a grounded representation of the lifted model as a pre-processing step. For HTN planning models, only one method to ground lifted models has been published so far. In this paper we present a new approach for grounding HTN planning problems that produces smaller groundings in a shorter timespan than the previously published method.

@InProceedings{Behnke2020Grounding,
  author    = {Gregor Behnke and Daniel H\"oller and Alexander Schmid and Pascal Bercher and Susanne Biundo},
  title     = {On Succinct Groundings of HTN Planning Problems},
  booktitle = {Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020)},
  year      = {2020},
  pages     = {9775--9784},
  publisher = {AAAI Press},
  doi       = {10.1609/aaai.v34i06.6529},
  abstract  = {Both search-based and translation-based planning systems usually operate on grounded representations of the problem. Planning models, however, are commonly defined using lifted description languages. Thus, planning systems usually generate a grounded representation of the lifted model as a pre-processing step. For HTN planning models, only one method to ground lifted models has been published so far. In this paper we present a new approach for grounding HTN planning problems that produces smaller groundings in a shorter timespan than the previously published method.},
  url_Paper = {https://bercher.net/publications/2020/Behnke2020Grounding.pdf},
  keywords  = {conference}
}

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