Preprint
Jul 2026
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks
HYPER-GNC, a multi-task reinforcement learning framework in which a hypernetwork maps physics-informed task embeddings to the weights of a shared actor-critic policy, enabling a single compact controller to master four distinct GNC tasks: velocity tracking, docking, inspection, and navigation with obstacle avoidance.
Ricard M. Castan, Aman Arora, Antoine Richard et al.
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