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%2C where a swarm of agents cooperates to form a link between two distant moving targets. Furthermore%2C we propose a Multi-Agent Reinforcement Learning (MARL) approach for the problem based on Graph Convolutional Reinforcement Learning (DGN) which naturally applies to the networked%2C distributed nature of the task. The proposed method is evaluated in a simulated environment and compared to a centralized heuristic baseline showing promising results. Moreover%2C a further step in the direction of sim-to-real transfer is presented%2C by additionally evaluating the proposed approach in a near Live Virtual Constructive (LVC) UAV framework.?quality=80&w=800)
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