On-the-fly Adaptation of Patrolling Strategies in Changing Environments
| Authors | |
|---|---|
| Year of publication | 2022 |
| Type | Article in Proceedings |
| Conference | Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022 |
| MU Faculty or unit | |
| Citation | |
| web | Paper URL |
| Keywords | patrolling games; strategy synthesis |
| Description | 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. |
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