Abstract: This paper presents a model-free neural network controller design methodology based on transfer reinforcement learning (TRL) with Gaussian reward shaping, implemented and validated on a Buck ...
Abstract: In this paper, we present a novel theoretical framework for online adaptation of Control Barrier Function (CBF) parameters, i.e., of the class $\mathcal{K}$ functions included in the CBF ...