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 ...
He launched a learning game at 16 that now reaches millions of students worldwide. Here’s what we can learn from this young ...
Abstract: This paper introduces the notion of switched neural networks for learning multiple functions under different switching configurations. The neural network structure has adjustable parameters ...