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ai / ml · 2026
GNN-MARL Implementation
A GNN combined with MARL for coordinating drone swarms. The project is an implementation of QMIX-GNN and introduces some new features such as anomaly detection.
A graph neural network (GNN) combined with multi-agent reinforcement learning (MARL) for coordinating drone swarms. I extended the QMIX-GNN Paper by adding features such as dynamic graph construction, attention mechanisms, and improved reward shaping to enhance the coordination and efficiency of drone swarms in complex environments.
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