Higher-Dimensional Potential Heuristics: Lower Bound Criterion and Connection to Correlation Complexity

Authors

  • Simon Dold University of Basel
  • Malte Helmert University of Basel

DOI:

https://doi.org/10.1609/icaps.v34i1.31471

Abstract

Correlation complexity is a measure of a planning task indicating how hard it is. The introducing work, provides sufficient criteria to detect a correlation complexity of 2 on a planning task. It also introduced an example of a planning task with correlation complexity 3. In our work, we introduce a criterion to detect an arbitrary correlation complexity and extend the mentioned example to show with the new criterion that planning tasks with arbitrary correlation complexity exist.

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Published

2024-05-30

How to Cite

Dold, S., & Helmert, M. (2024). Higher-Dimensional Potential Heuristics: Lower Bound Criterion and Connection to Correlation Complexity. Proceedings of the International Conference on Automated Planning and Scheduling, 34(1), 151-161. https://doi.org/10.1609/icaps.v34i1.31471