Abstract: Safe reinforcement learning (RL) aims to learn policy while also ensuring the safety constraints. An increasingly common approach is to design a safety filter based on control barrier ...
Course evaluation data provide important information for understanding teaching and learning quality. This study aimed to develop an interpretable machine-learning framework for predicting ...
Abstract: Achieving safe autonomous navigation systems is critical for deploying robots in dynamic and uncertain real-world environments. In this paper, we propose a hierarchical control framework ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results