Abstract
In this paper, we focus on the inference of mutex groups in the lifted (PDDL) representation. We formalize the inference and prove that the most commonly used translator from the Fast Downward (FD) planning system infers a certain subclass of mutex groups, called fact-alternating mutex groups (fam-groups). Based on that, we show that the previously proposed fam-groups-based pruning techniques for the STRIPS representation can be utilized during the grounding process with lifted fam-groups, i.e., before the full STRIPS representation is known. Furthermore, we propose an improved inference algorithm for lifted fam-groups that produces a richer set of fam-groups than the FD translator and we demonstrate a positive impact on the number of pruned operators and overall coverage.
Original language | English |
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Title of host publication | Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI-20 |
Number of pages | 8 |
Publication date | 3 Apr 2020 |
Pages | 9835-9842 |
DOIs | |
Publication status | Published - 3 Apr 2020 |
Externally published | Yes |
Event | 34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, United States Duration: 7 Feb 2020 → 12 Feb 2020 |
Conference
Conference | 34th AAAI Conference on Artificial Intelligence, AAAI 2020 |
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Country/Territory | United States |
City | New York |
Period | 07/02/2020 → 12/02/2020 |
Sponsor | Association for the Advancement of Artificial Intelligence |