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.V29I1.9349

Markdown

[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.V29I1.9349

BibTeX

@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/}
}