Proceedings of 10th International Planning Competition: Planner and Domain Abstracts – Hierarchical Task Network (HTN) Planning Track (IPC 2020). Behnke, G., Höller, D., & Bercher, P., editors Volume 2021.
Ipc-booklet abstract bibtex 6 downloads Since its first edition in 1998, the International Planning Competition (IPC) has been an integral event of the planning community. For more than 20 years, it established unified input languages for planners, enabled an objective comparison between them based on an accessible benchmark set. The IPC drove the development of planners and fostered research. Thus, the IPC enabled planning researchers to compare their own work against the work of others – not only within the competition, but also outside of it. Due to the IPC almost all contemporary planners understand (some form of) PDDL, which allows for using IPC benchmarks across a multitude of planners.
The first two IPCs had – in addition to the regular track – a track on hand-tailored planners in which the planners could be provided with additional information or select their algorithms based on the input domain. Among these planners, some used Hierarchical Planning – most notably SHOP. Following the second IPC in 2000 the hand-tailored track was discontinued. Hierarchical planning was thereafter not part of the IPC any more. Research in the field however continued.
The International Planning Competition 2020 features for the first time a track dedicated to hierarchical planning. In contrast to the previous track on hand-tailored planners we don't want to evaluate how good planners can become given any possible additional knowledge, but ask how well planners can exploit a given hierarchical refinement structure. We therefore faced several unique challenges. We had to establish a common input language for all planners such that all of them operate on the very same model. We also had to specify a plan-output format and provide a verifier, since we had to ensure that the found plans satisfy the decompositional structure of the given task hierarchy. Further, we had to gather a comprehensive set of benchmark domains, since no such set existed before. We hope that this first competition for Hierarchical Task Network planners will foster future research into hierarchical planning and provide a common basis for many researchers – by establishing a unified input language, a common benchmark set, and an evaluation of the state of the art in HTN planning. We hope that many future editions of this competition will follow.
Gregor, Daniel, and Pascal
Organizers of the IPC 2020,
May 2021
@proceedings{IPC2020Booklet,
title = {Proceedings of 10th {I}nternational {P}lanning {C}ompetition: Planner and Domain Abstracts -- Hierarchical Task Network (HTN) Planning Track (IPC 2020)},
year = {2021},
editor = {Gregor Behnke and Daniel H{\"o}ller and Pascal Bercher},
url_IPC-Booklet = {https://bercher.net/publications/2021/Behnke2021IPC-Booklet.pdf},
abstract = {<p>Since its first edition in 1998, the International Planning Competition (IPC) has been an integral event of the planning community. For more than 20 years, it established unified input languages for planners, enabled an objective comparison between them based on an accessible benchmark set. The IPC drove the development of planners and fostered research. Thus, the IPC enabled planning researchers to compare their own work against the work of others -- not only within the competition, but also outside of it. Due to the IPC almost all contemporary planners understand (some form of) PDDL, which allows for using IPC benchmarks across a multitude of planners.</p>
<p>The first two IPCs had -- in addition to the regular track -- a track on hand-tailored planners in which the planners could be provided with additional information or select their algorithms based on the input domain. Among these planners, some used Hierarchical Planning -- most notably SHOP. Following the second IPC in 2000 the hand-tailored track was discontinued. Hierarchical planning was thereafter not part of the IPC any more. Research in the field however continued.</p>
<p>The International Planning Competition 2020 features for the first time a track dedicated to hierarchical planning. In contrast to the previous track on hand-tailored planners we don't want to evaluate how good planners can become given any possible additional knowledge, but ask how well planners can exploit a given hierarchical refinement structure. We therefore faced several unique challenges. We had to establish a common input language for all planners such that all of them operate on the very same model. We also had to specify a plan-output format and provide a verifier, since we had to ensure that the found plans satisfy the decompositional structure of the given task hierarchy. Further, we had to gather a comprehensive set of benchmark domains, since no such set existed before. We hope that this first competition for Hierarchical Task Network planners will foster future research into hierarchical planning and provide a common basis for many researchers -- by establishing a unified input language, a common benchmark set, and an evaluation of the state of the art in HTN planning. We hope that many future editions of this competition will follow.</p>
Gregor, Daniel, and Pascal<br/>
Organizers of the IPC 2020,<br/>
May 2021},
keywords = {proceedings}
}
Downloads: 6
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Research in the field however continued.</p> <p>The International Planning Competition 2020 features for the first time a track dedicated to hierarchical planning. In contrast to the previous track on hand-tailored planners we don't want to evaluate how good planners can become given any possible additional knowledge, but ask how well planners can exploit a given hierarchical refinement structure. We therefore faced several unique challenges. We had to establish a common input language for all planners such that all of them operate on the very same model. We also had to specify a plan-output format and provide a verifier, since we had to ensure that the found plans satisfy the decompositional structure of the given task hierarchy. Further, we had to gather a comprehensive set of benchmark domains, since no such set existed before. 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