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Safety in imitation learning can be achieved even in the face of significant distribution shifts, as shown by a UAV navigating uncertain environments while avoiding danger zones.
Guaranteeing safety in multi-agent systems with dynamic network topologies is now possible with a plug-and-play protocol that allows agents to join or leave the network while ensuring safety recovery.
