Abstract: Industrial Internet of Things applications like aircraft assembly impose stringent demands on Computing Power Networks. Existing deep reinforcement learning (DRL)-based schedulers not only ...
Abstract: This paper proposes an adaptive dynamic programming (ADP) algorithm based on a dynamic event-triggered mechanism (ETM) for the optimal control problem of a class of continuous-time nonlinear ...
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