On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report

Open Access
Authors
Publication date 26-03-2024
Edition v1
Number of pages 9
Publisher ArXiv
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Stackelberg planning is a recently introduced single-turn two-player adversarial planning model, where two players are acting in a joint classical planning task, the objective of the first player being hampering the second player from achieving its goal. This places the Stackelberg planning problem somewhere between classical planning and general combinatorial two-player games. But, where exactly? All investigations of Stackelberg planning so far focused on practical aspects. We close this gap by conducting the first theoretical complexity analysis of Stackelberg planning. We show that in general Stackelberg planning is actually no harder than classical planning. Under a polynomial plan-length restriction, however, Stackelberg planning is a level higher up in the polynomial complexity hierarchy, suggesting that compilations into classical planning come with a worst-case exponential plan-length increase. In attempts to identify tractable fragments, we further study its complexity under various planning task restrictions, showing that Stackelberg planning remains intractable where classical planning is not. We finally inspect the complexity of meta-operator verification, a problem that has been recently connected to Stackelberg planning.
Document type Preprint
Note Presented at ICAPS24
Language English
Related publication On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification
Published at https://doi.org/10.48550/arXiv.2403.17826
Downloads
2403.17826v1 (Final published version)
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