AINeutralarXiv – CS AI · May 116/10
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Dynamic one-time delivery of critical data by small and sparse UAV swarms: a model problem for MARL scaling studies
Researchers introduce a family of deterministic games designed to test Multi-Agent Reinforcement Learning (MARL) scalability for decentralized UAV swarm control tasked with relaying critical data. While baseline policies using Dijkstra's algorithm perform comparably to standard MARL algorithms for small agent counts, existing MARL approaches demonstrate significant scalability limitations as swarm size increases.