Measurement-aware control barrier functions are re-framed through a fiber bundle geometry for Neural ODE dynamics learning, but the claimed convergence and safety guarantees rely on an oracle update and a faulty union bound.
Safe model-based reinforcement learning with stability guarantees
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Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
Measurement-aware control barrier functions are re-framed through a fiber bundle geometry for Neural ODE dynamics learning, but the claimed convergence and safety guarantees rely on an oracle update and a faulty union bound.