Integrating Partial Order Reduction and Symmetry Elimination for Cost-Optimal Classical Planning
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1712-1717.
Abstract
Pruning techniques based on partial order reduction and symmetry elimination have recently found increasing attention for optimal planning. Although these techniques appear to be rather different, they base their pruning decisions on similar ideas from a high level perspective. In this paper, we propose safe integrations of partial order reduction and symmetry elimination for cost-optimal classical planning. We show that previously proposed symmetry-based search algorithms can safely be applied with strong stubborn sets. In addition, we derive the notion of symmetrical strong stubborn sets as a more tightly integrated concept. Our experiments show the potential of our approaches.
@inproceedings{ijcai2015p244,
title = {Integrating Partial Order Reduction and Symmetry Elimination for Cost-Optimal Classical Planning},
author = {Wehrle, Martin and Helmert, Malte and Shleyfman, Alexander and Katz, Michael},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {1712--1717},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/244},
}
TY - CPAPER TI - Integrating Partial Order Reduction and Symmetry Elimination for Cost-Optimal Classical Planning AU - Wehrle, Martin AU - Helmert, Malte AU - Shleyfman, Alexander AU - Katz, Michael T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 1712 EP - 1717 UR - https://ijcai.org/proceedings/2015/244 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: