On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?

Sandra Castellanos-Paez, Romain Rombourg, Philippe Lalanda

2021

Abstract

Understanding the role that plays the extraction phase on identifying potential macro candidates to augment a domain is critical. In this paper, we present a method to analyse the link between extracting macro-operators from non-adjacent actions and the correctness of (1) the frequency and (2) the number of occurrences per plan. We carried out experiments using our method on five benchmark domains and three different planners. We found that extracting macro-operators with only adjacent actions leads to important errors in macro-operator frequency and occurrences per plan.

Paper Citation

in Harvard Style

Castellanos-Paez S., Rombourg R. and Lalanda P. (2021). On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 1021-1029. DOI: 10.5220/0010305110211029

in Bibtex Style

@conference{icaart21,
author={Sandra Castellanos-Paez and Romain Rombourg and Philippe Lalanda},
title={On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={1021-1029},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010305110211029},
isbn={978-989-758-484-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?
SN - 978-989-758-484-8
AU - Castellanos-Paez S.
AU - Rombourg R.
AU - Lalanda P.
PY - 2021
SP - 1021
EP - 1029
DO - 10.5220/0010305110211029