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Reinforcement Learning offers a very general framework for learning controllers, but its effectiveness is closely tied to the controller parameterization used. Especially when learning feedback ...
This paper addresses how the stability of a converter-dominated network in different states can be improved by parameterization using reinforcement learning (RL). To perform the parameterization, the ...
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