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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 ...

Companies are increasingly divesting businesses that do not operate independently yet. Why this often goes wrong and why a ...

In this episode, they describe the process of ventilation and gas exchange and the bodily adaptations that support these ...

Abstract: This article proposes a distributed safety-critical optimal flocking control algorithm for the multiagent system. In general, safety (i.e., collision avoidance) could be guaranteed by the ...