RL Autoencoder for Digital Communication Enhancement

I'm seeking an expert in reinforcement learning and machine learning with a focus on digital communication systems. The project involves utilizing RL-based autoencoders to enhance an end-to-end wireless communication system, specifically dealing with noisy feedback scenarios.

Key Tasks:
- Design an RL-based autoencoder system aimed at optimizing channel use and enhancing overall communication efficiency.
- Apply machine learning techniques to improve aspects of digital communication such as error correction, signal processing, and channel estimation.
- Ensure the system is resilient to noise and can effectively handle digital communication challenges.

Ideal Skills:
- Proficiency in reinforcement learning and machine learning.
- Extensive knowledge of digital communication systems.
- Experience with channel optimization techniques.