Deep Reinforcement Learning Autoencoder with Noisy Feedback

12 Oct 2018Mathieu GoutayFayçal Ait AoudiaJakob Hoydis

End-to-end learning of communication systems enables joint optimization of transmitter and receiver, implemented as deep neural network-based autoencoders, over any type of channel and for an arbitrary performance metric. Recently, an alternating training procedure was proposed which eliminates the need for an explicit channel model... (read more)

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