Deep Reinforcement Learning Autoencoder with Noisy Feedback

摘要

End-to-end learning of communication systems enables joint optimization of transmitter and receiver, implemented as deep neural network (NN)-based autoencoders, over any type of channel and for an arbitrary performance metric. Recently, an alternating tra