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 ...
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 ...
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