HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems

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Holler, Daniel
Behnke, Gregor
Bercher, Pascal
Biundo, Susanne
Fiorino, Humbert
Pellier, Damien
Alford, Ron

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Association for the Advancement of Artificial Intelligence (AAAI)

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The research in hierarchical planning has made considerable progress in the last few years. Many recent systems do not rely on hand-tailored advice anymore to find solutions, but are supposed to be domain-independent systems that come with sophisticated solving techniques. In principle, this development would make the comparison between systems easier (because the domains are not tailored to a single system anymore) and – much more important – also the integration into other systems, because the modeling process is less tedious (due to the lack of advice) and there is no (or less) commitment to a certain planning system the model is created for. However, these advantages are destroyed by the lack of a common input language and feature set supported by the different systems. In this paper, we propose an extension to PDDL, the description language used in non-hierarchical planning, to the needs of hierarchical planning systems.

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Proceedings of the 34th AAAI Conference on Artificial Intelligence, AAAI 2020

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2099-12-31

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