Frontier Signal
Multi-Agent RL Secures Urban Airspace for Heterogeneous sUAS Fleets
New arXiv research explores multi-agent reinforcement learning (MARL) for safe separation of diverse sUAS fleets in dense urban airspaces, showing PPOA2C policies can achieve equilibrium.
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