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

Sandra Castellanos-Paez; Romain Rombourg; Philippe Lalanda

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Paper

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

Topics: Knowledge-Based Systems; Planning and Scheduling; State Space Search

In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 1021-1029, 2021

Authors: Sandra Castellanos-Paez ; Romain Rombourg and Philippe Lalanda

Affiliation: Univ. Grenoble Alpes, CNRS, Grenoble INP, France

Keyword(s): Automated Planning, Macro-operators, Learning, Data Mining.

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.

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Paper citation in several formats:

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; ISSN 2184-433X, SciTePress, pages 1021-1029. DOI: 10.5220/0010305110211029

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Castellanos-Paez, S.
AU - Rombourg, R.
AU - Lalanda, P.
PY - 2021
SP - 1021
EP - 1029
DO - 10.5220/0010305110211029
PB - SciTePress