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Learning State-Action Control Barrier Functions for Model-Free Control under Constraints
Ensuring constraint satisfaction for learning-based control is a critical challenge, especially in the model-free case. While safety filters address this challenge in the model-based setting, they typically rely on predictive models derived from physics or data. This reliance limits their applicabil
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