Abstract: This article presents a reinforcement learning (RL) controller based on the twin delayed deep deterministic (TD3) policy gradient algorithm for single-inductor multiple-input multiple-output ...
Abstract: This article presents a disturbance observer (DO)-based neural network (NN) control for a two-degree-of-freedom (2-DOF) helicopter system with input saturation, external disturbances, and ...
This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of parameters, and specialized architectures like convolutional neural ...
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