Graph-Based Factorization of Classical Planning Problems

Abstract

In domain-independent planning, dependencies of operators and variables often prevent the effective application of planning techniques that rely on loosely coupled problems (like factored planning or partial order reduction). In this paper, we propose a generic approach for factorizing a classical planning problem into an equivalent problem with fewer operator and variable dependencies. Our approach is based on variable factorization, which can be reduced to the well-studied problem of graph factorization. While the state spaces of the original and the factorized problems are isomorphic, the factorization offers the potential to exponentially reduce the complexity of planning techniques like factored planning and partial order reduction. PDF

Cite

Text

Wehrle et al. "Graph-Based Factorization of Classical Planning Problems." International Joint Conference on Artificial Intelligence, 2016.

Markdown

[Wehrle et al. "Graph-Based Factorization of Classical Planning Problems." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/wehrle2016ijcai-graph/)

BibTeX

@inproceedings{wehrle2016ijcai-graph,
  title     = {{Graph-Based Factorization of Classical Planning Problems}},
  author    = {Wehrle, Martin and Sievers, Silvan and Helmert, Malte},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {3286-3292},
  url       = {https://mlanthology.org/ijcai/2016/wehrle2016ijcai-graph/}
}