Abstract: In various control application areas, at least some approximate dynamic model of the physical systems under control are available. Though these models are not precise enough for serving as ...
Abstract: In this paper, an optimization algorithm based on deep reinforcement learning is proposed to optimize complex networks in fixed-time convergence of continuous action iteration dilemmas. The ...