IJCAI 2024poster1 citations
Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems)
Mohammad Yousefi, Pascal Bercher
Abstract
Building upon recent advancements in formalising Fully Observable Non-Deterministic (FOND) Hierarchical Task Network (HTN) planning, we present the first approach to find strong solutions for HTN problems with uncertainty in action outcomes. We present a search algorithm, along with a compilation that relaxes a FOND HTN problem to a deterministic one. This allows the utilisation of existing grounders and heuristics from the deterministic HTN planning literature.
Planning and Scheduling: PS: Hierarchical planningPlanning and Scheduling: PS: Planning algorithmsPlanning and Scheduling: PS: Planning under uncertaintyPlanning and Scheduling: PS: Search in planning and scheduling
BibTeX
@inproceedings{ijcai2024p751,
title = {Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems)},
author = {Yousefi, Mohammad and Bercher, Pascal},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {6796--6804},
year = {2024},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2024/751},
url = {https://doi.org/10.24963/ijcai.2024/751},
}