Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge
Author:
Affiliation:
1. School of Computing, Engineering and the Built Environment, Edinburgh Napier University,Edinburgh,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436824.pdf?arnumber=10436824
Reference11 articles.
1. 8-PSK trellis codes for a Rayleigh channel
2. Deep Learning Based Communication Over the Air
3. An Introduction to Deep Learning for the Physical Layer
4. Gradient-Free Training of Autoencoders for Non-Differentiable Communication Channels
5. End-to-End Learning of Communications Systems Without a Channel Model
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