Improving Hierarchical Planning Performance by the Use of Landmarks

Mohamed Elkawkagy, Pascal Bercher, Bernd Schattenberg, Susanne Biundo

AAAI 2012 pp. 1763-1769

doi:10.1609/AAAI.V26I1.8366 /aaai/2012/elkawkagy2012aaai-improving/

Abstract

In hierarchical planning, landmarks are tasks that occur on any search path leading from the initial plan to a solution. In this work, we present novel domain-independent planning strategies based on such hierarchical landmarks. Our empirical evaluation on four benchmark domains shows that these landmark-aware strategies outperform established search strategies in many cases.

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Text

Elkawkagy et al. "Improving Hierarchical Planning Performance by the Use of Landmarks." AAAI Conference on Artificial Intelligence, 2012. doi:10.1609/AAAI.V26I1.8366

Markdown

[Elkawkagy et al. "Improving Hierarchical Planning Performance by the Use of Landmarks." AAAI Conference on Artificial Intelligence, 2012.](https://mlanthology.org/aaai/2012/elkawkagy2012aaai-improving/) doi:10.1609/AAAI.V26I1.8366

BibTeX

@inproceedings{elkawkagy2012aaai-improving,
  title     = {{Improving Hierarchical Planning Performance by the Use of Landmarks}},
  author    = {Elkawkagy, Mohamed and Bercher, Pascal and Schattenberg, Bernd and Biundo, Susanne},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2012},
  pages     = {1763-1769},
  doi       = {10.1609/AAAI.V26I1.8366},
  url       = {https://mlanthology.org/aaai/2012/elkawkagy2012aaai-improving/}
}