Heuristic Planning for Hybrid Systems
Abstract
Planning in hybrid systems has been gaining research interest in the Artificial Intelligence community in recent years. Hybrid systems allow for a more accurate representation of real world problems, though solving them is very challenging due to complex system dynamics and a large model feature set. We developed DiNo, a new planner designed to tackle problems set in hybrid domains.DiNo is based on the discretise and validate approach and uses the novel Staged Relaxed Planning Graph+ (SRPG+) heuristic.
Cite
Text
Piotrowski et al. "Heuristic Planning for Hybrid Systems." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9953Markdown
[Piotrowski et al. "Heuristic Planning for Hybrid Systems." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/piotrowski2016aaai-heuristic/) doi:10.1609/AAAI.V30I1.9953BibTeX
@inproceedings{piotrowski2016aaai-heuristic,
title = {{Heuristic Planning for Hybrid Systems}},
author = {Piotrowski, Wiktor Mateusz and Fox, Maria and Long, Derek and Magazzeni, Daniele and Mercorio, Fabio},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2016},
pages = {4254-4255},
doi = {10.1609/AAAI.V30I1.9953},
url = {https://mlanthology.org/aaai/2016/piotrowski2016aaai-heuristic/}
}