How can GNNs optimize UAV AoI in unknown environments?
GNN-Empowered Effective Partial Observation MARL Method for Aol Management in Multi-UAV Network
September 4, 2024
https://arxiv.org/pdf/2409.00036- The paper focuses on optimizing the paths of multiple UAVs collecting data from IoT devices using a multi-agent reinforcement learning (MARL) approach.
- The proposed system, Qedgix, enhances the traditional MARL algorithm (QMIX) with graph neural networks (GNNs). This allows UAVs, acting as agents, to better understand their relationship with other agents and make smarter decisions regarding data collection routes, even with limited information about the overall environment. This is particularly relevant to LLM-based systems, as LLMs can be computationally expensive and require efficient information exchange between agents.