Le Thi Kieu Oanh

GNN-ENHANCED MULTI-AGENT DRL FOR ADAPTIVE ANTI-JAMMING ROUTING IN MANETS

This paper proposes a GNN-enhanced multi-agent deep reinforcement learning framework for antijamming routing in mobile ad hoc networks. The approach combines temporal graph representations with centralized training and decentralized execution, together with a learning-based jammer to model adversarial interference. Sim...