Complete Algorithms for Cooperative Pathfinding Problems
Abstract
Problems that require multiple agents to follow non-interfering paths from their current states to their respective goal states are called cooperative pathfinding problems. We present the first {complete algorithm for finding these paths that is sufficiently fast for real-time applications. Furthermore, our algorithm offers a trade-off between running time and solution quality. We then refine our algorithm into an anytime algorithm that first quickly finds a solution, and then uses any remaining time to incrementally improve that solution until it is optimal or the algorithm is terminated. We compare our algorithms to those in the literature and show that in addition to completeness, our algorithms offer improved solution quality as well as competitive running time.
Cite
Text
Standley and Korf. "Complete Algorithms for Cooperative Pathfinding Problems." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-118Markdown
[Standley and Korf. "Complete Algorithms for Cooperative Pathfinding Problems." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/standley2011ijcai-complete/) doi:10.5591/978-1-57735-516-8/IJCAI11-118BibTeX
@inproceedings{standley2011ijcai-complete,
title = {{Complete Algorithms for Cooperative Pathfinding Problems}},
author = {Standley, Trevor Scott and Korf, Richard E.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2011},
pages = {668-673},
doi = {10.5591/978-1-57735-516-8/IJCAI11-118},
url = {https://mlanthology.org/ijcai/2011/standley2011ijcai-complete/}
}