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.

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.

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