AIMar 9, 2021

From Classical to Hierarchical: benchmarks for the HTN Track of the International Planning Competition

arXiv:2103.05481v16 citations
Originality Synthesis-oriented
AI Analysis

This provides standardized benchmarks for the HTN planning community, but it is incremental as it adapts existing classical benchmarks to a new hierarchical track.

The paper outlines nine classical benchmarks submitted to the first hierarchical planning track of the International Planning Competition in 2020, based on the HDDL language and selected via a community questionnaire, including domains like Barman and Blocksworld.

In this short paper, we outline nine classical benchmarks submitted to the first hierarchical planning track of the International Planning competition in 2020. All of these benchmarks are based on the HDDL language. The choice of the benchmarks was based on a questionnaire sent to the HTN community. They are the following: Barman, Childsnack, Rover, Satellite, Blocksworld, Depots, Gripper, and Hiking. In the rest of the paper we give a short description of these benchmarks. All are totally ordered.

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