Lyuzhou Ye

RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation

This paper addresses the source localization problem by introducing RoLocMe, a multi-agent reinforcement learning system that integrates SkipNet - a skip-connection-based RSS estimation model - with parallel Q-learning. SkipNet predicts RSS propagation of the entire search region, enabling agents to