BDDs Strike Back (in AI Planning)
Abstract
The cost-optimal track of the international planning competition in 2014 has seen an unexpected outcome. Different to the precursing competition in 2011, where explicit-state heuristic search planning scored best, advances in the state-set exploration with BDDs showed a significant lead. In this paper we review the outcome of the competition, briefly looking into the internals of the competing systems.
Cite
Text
Edelkamp et al. "BDDs Strike Back (in AI Planning)." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9349Markdown
[Edelkamp et al. "BDDs Strike Back (in AI Planning)." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/edelkamp2015aaai-bdds/) doi:10.1609/AAAI.V29I1.9349BibTeX
@inproceedings{edelkamp2015aaai-bdds,
title = {{BDDs Strike Back (in AI Planning)}},
author = {Edelkamp, Stefan and Kissmann, Peter and Torralba, Álvaro},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2015},
pages = {4320-4321},
doi = {10.1609/AAAI.V29I1.9349},
url = {https://mlanthology.org/aaai/2015/edelkamp2015aaai-bdds/}
}