@inproceedings{d4a03acce5be4a218b1481a3a1aa9f11,
title = "Operator mutexes and symmetries for simplifying planning tasks",
abstract = "Simplifying classical planning tasks by removing operators while preserving at least one optimal solution can significantly enhance the performance of planners. In this paper, we introduce the notion of operator mutex, which is a set of operators that cannot all be part of the same (strongly) optimal plan. We propose four different methods for inference of operator mutexes and experimentally verify that they can be found in a sizable number of planning tasks. We show how operator mutexes can be used in combination with structural symmetries to safely remove operators from the planning task.",
keywords = "Planning and scheduling, Artificial Intelligence (AI)",
author = "Daniel Fi{\v s}er and {\'A}lvaro Torralba and Alexander Shleyfman",
year = "2019",
doi = "10.1609/aaai.v33i01.33017586",
language = "English",
series = "33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019",
pages = "7586--7593",
booktitle = "33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019",
publisher = "AAAI Press",
address = "United States",
note = "33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 ; Conference date: 27-01-2019 Through 01-02-2019",
}