Engineering a Conformant Probabilistic Planner

Abstract

We present a partial-order, conformant, probabilistic planner, Probapop which competed in the blind track of the Probabilistic Planning Competition in IPC-4. We explain how we adapt distance based heuristics for use with probabilistic domains. Probapop also incorporates heuristics based on probability of success. We explain the successes and diefficulties encountered during the design and implementation of Probapop.

Cite

Text

Onder et al. "Engineering a Conformant Probabilistic Planner." Journal of Artificial Intelligence Research, 2006. doi:10.1613/JAIR.1701

Markdown

[Onder et al. "Engineering a Conformant Probabilistic Planner." Journal of Artificial Intelligence Research, 2006.](https://mlanthology.org/jair/2006/onder2006jair-engineering/) doi:10.1613/JAIR.1701

BibTeX

@article{onder2006jair-engineering,
  title     = {{Engineering a Conformant Probabilistic Planner}},
  author    = {Onder, Nilufer and Whelan, G. C. and Li, Li},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {2006},
  pages     = {1-15},
  doi       = {10.1613/JAIR.1701},
  volume    = {25},
  url       = {https://mlanthology.org/jair/2006/onder2006jair-engineering/}
}