arxivcs.NIcs.MAeess.SY2026-07-24
Predictive Lightweight MARL for Resilient Coverage in Sparse-Signaling Aerial Networks
This letter proposes the Predictive Lightweight Multi-Agent Reinforcement Learning (PL-MARL) framework to ensure resilient coverage in bandwidth-constrained UAV swarms. To counter coordination collapse caused by sparse signaling and information aging, we introduce a Kinematic-Awa…