ml-rl-universal-sequence-design

This software project accompanies the research paper, A Reinforcement Learning Based Universal Sequence Design for Polar Codes.

This repo contains the source code used in the development of the work described in the paper.

Documentation

The source code provides a locally runnable training process for demonstration only. It does not include cluster deployment code used in the development of the sequence.

Getting Started

Ensure you have these python virtual environment tools installed (pyenv, pyenv-virtualenv).

• Set up virtual environment

  bash scripts/rebuild_venv.sh

• Set up environment

  source setup_env.sh

• Test locally using scripts in ./run_scripts

  # example
  bash run_scripts/test_run.sh
  bash run_scripts/iter_learn.sh