We study end-to-end learning-based frameworks for amplify-and-forward (AF) relay networks, with and without the channel state information (CSI) knowledge. The designed framework resembles an autoencoder (AE) where all components of neural network (NN)-based source destination nodes are optimized together in manner, signal transmission takes place AF node. Unlike literature that employs NN-based...