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 ...
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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