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 sense, China has been practicing what might be called a “China first” strategy—prioritizing its narrow interests while disclaiming global responsibilities—long predating the current “America ...
Companies are increasingly divesting businesses that do not operate independently yet. Why this often goes wrong and why a ...
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 ...