Probabilistic Temporal Planning with Uncertain Durations
Abstract
To appear as a short paper at ICAPS’06. We investigate the problem of temporal planning with concurrent actions having stochastic durations, especially in the context of extended-state-space based planners. The problem is challenging because stochastic durations lead to an explosion in the space of possible decision-epochs, which exacerbates the familiar challenge of growth in executable action combinations caused by concurrency. We present various observations and insights into different variations of this problem that form the basis of our future research.
Cite
Text
Mausam and Weld. "Probabilistic Temporal Planning with Uncertain Durations." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Mausam and Weld. "Probabilistic Temporal Planning with Uncertain Durations." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/mausam2006aaai-probabilistic/)BibTeX
@inproceedings{mausam2006aaai-probabilistic,
title = {{Probabilistic Temporal Planning with Uncertain Durations}},
author = {Mausam, and Weld, Daniel S.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {880-887},
url = {https://mlanthology.org/aaai/2006/mausam2006aaai-probabilistic/}
}