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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 ...

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

The second point of emerging consensus is that a fundamental remaking of that order has become essential. The American role in preserving the old order had become counterproductive and unsustainable, ...

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 ...