Hierarchical Planning in the IPC

G Behnke , D Höller , P Bercher , S Biundo , Damien Pellier (1) , H Fiorino , R Alford

1 Marvin - Artificial Intelligence and Robotics

Over the last years, the amount of research in hierarchical planning has increased, leading to significant improvements in the performance of planners. However, the research is diverging and planners are somewhat hard to compare against each other. This is mostly caused by the fact that there is no standard set of benchmark domains, nor even a common description language for hierarchical planning problems. As a consequence, the available planners support a widely varying set of features and (almost) none of them can solve (or even parse) any problem developed for another planner. With this paper, we propose to create a new track for the IPC in which hierarchical planners will compete. This competition will result in a standardised description language, broader support for core features of that language among planners, a set of benchmark problems, a means to fairly and objectively compare HTN planners, and for new challenges for planners.

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]

G Behnke, D Höller, P Bercher, S Biundo, Damien Pellier, et al.. Hierarchical Planning in the IPC. Workshop on HTN Planning (ICAPS), Jul 2019, Berkeley, United States. ⟨hal-02183039⟩