Our paper entitled “Sensing-Aware Cooperative Multi-UAV Search with Reinforcement Learning” is accepted for publication in IEEE PIMRC 2025.

This paper presents a novel reinforcement learning framework for multi-UAV cooperative search missions with sensing imperfections. We introduce a scalable multi-agent envi-
ronment that effectively models sensor uncertainty while enabling decentralized information merging between UAVs.  Using Proximal Policy Optimization
(PPO), we create a training framework that achieves consistent
performance across varying numbers of UAVs and targets.