Publication details

Variable-Deletion Backdoors to Planning

Authors

KRONEGGER Martin ORDYNIAK Sebastian PFANDLER Andreas

Type Article in Proceedings
Conference Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords Planning; Fixed-parameter tractable algorithms; (Parameterized) complexity theory; Backdoors
Description Backdoors are a powerful tool to obtain efficient algorithms for hard problems. Recently, two new notions of backdoors to planning were introduced. However, for one of the new notions (i.e., variable-deletion) only hardness results are known so far. In this work we improve the situation by defining a new type of variabledeletion backdoors based on the extended causal graph of a planning instance. For this notion of backdoors several fixed-parameter tractable algorithms are identified. Furthermore, we explore the capabilities of polynomial time preprocessing, i.e., we check whether there exists a polynomial kernel. Our results also show the close connection between planning and verification problems such as Vector Addition System with States (VASS).
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