Abstract: This paper introduces the notion of a Rate-Tunable Control Barrier Function (RT-CBF), which allows for online tuning of the response of CBF-based controllers by adapting the parameters of ...
Abstract: This paper compares the performance of activation function hardware under exponential function approximation techniques. The activation function is a key component of deep neural networks, ...
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