Therefore, the ReLU function was adopted as the activation function here. The training of the auto-encoder was performed end-to-end. The weights of the auto-encoder were generated simultaneously. The trained weights 𝑤𝑒we of the auto-encoder could be utilized as inputs for path-planning ...