On-the-Fly Adaptation of Patrolling Strategies in Changing Environments
Abstract
We consider the problem of efficient patrolling strategy adaptation in a changing environment where the topology of Defender’s moves and the importance of guarded targets change unpredictably. The Defender must instantly switch to a new strategy optimized for the new environment, not disrupting the ongoing patrolling task, and the new strategy must be computed promptly under all circumstances. Since strategy switching may cause unintended security risks compromising the achieved protection, our solution includes mechanisms for detecting and mitigating this problem. The efficiency of our framework is evaluated experimentally.
Cite
Text
Brázdil et al. "On-the-Fly Adaptation of Patrolling Strategies in Changing Environments." Uncertainty in Artificial Intelligence, 2022.Markdown
[Brázdil et al. "On-the-Fly Adaptation of Patrolling Strategies in Changing Environments." Uncertainty in Artificial Intelligence, 2022.](https://mlanthology.org/uai/2022/brazdil2022uai-onthefly/)BibTeX
@inproceedings{brazdil2022uai-onthefly,
title = {{On-the-Fly Adaptation of Patrolling Strategies in Changing Environments}},
author = {Brázdil, Tomáš and Klaška, David and Kučera, Antonı́n and Musil, Vı́t and Novotný, Petr and Řehák, Vojtěch},
booktitle = {Uncertainty in Artificial Intelligence},
year = {2022},
pages = {244-254},
volume = {180},
url = {https://mlanthology.org/uai/2022/brazdil2022uai-onthefly/}
}