Abstract: This letter presents a semi-parametric approach for learning safe data-driven control barrier functions (SDD-CBFs) for unknown continuous systems from noisy data. By leveraging optimization ...
A fundamental scientific problem of our time is to understand how memory systems integrate present sensory stimuli, past experience, and future behavioural options. Modern neuroscience tries to ...
Abstract: Imitation learning is increasingly utilized to improve driving performance using real-world data, yet ensuring the safety of its outputs remains a fundamental challenge. While differentiable ...
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