AINeutralarXiv – CS AI · 7h ago7/10
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Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
Researchers propose Network Distributed Multi-Agent Reinforcement Learning (ND-MARL), a framework that enables quadcopter swarms to achieve consensus control using only local 2-neighbor communication. The approach demonstrates zero-shot scalability, with policies trained on 3 agents successfully deployed to swarms of up to 250 agents without retraining, marking a significant advancement in distributed autonomous systems.