Single- and Multi-Agent Private Active Sensing: A Deep Neuroevolution Approach

arXiv:2403.10112v1 Announce Type: cross
Abstract: In this paper, we focus on one centralized and one decentralized problem of active hypothesis testing in the presence of an eavesdropper. For the centralized problem including a single legitimate agent, we present a new framework based on NeuroEvolution (NE), whereas, for the decentralized problem, we develop a novel NE-based method for solving collaborative multi-agent tasks, which interestingly maintains all computational benefits of single-agent NE. The superiority of the proposed EAHT approaches over conventional active …

agent arxiv cs.ai cs.cr cs.ma cs.ne decentralized focus framework presence private problem sensing single testing