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wujingda / Human-in-the-loop-Deep-Reinforcement-Learning

(Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving
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human-in-the-loop reinforcement-learning

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Human-in-the-loop Deep Reinforcement Learning (Hug-DRL)

This repo is the implementation of the paper "Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving".

Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving

Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv

Getting started

  1. Install the CARLA simulator (0.9.7), with referring to https://carla.readthedocs.io/en/latest/start_quickstart/#a-debian-carla-installation

  2. Install the dependent package

    pip install -r requirements.txt

  3. Run the training procedure

    python train_offline.py

Training performance of different algorithms

Reference

If you find this repo to be useful in your research, please consider citing our work

@article{WU2022,
title = {Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving},
journal = {Engineering},
year = {2022},
issn = {2095-8099},
doi = {https://doi.org/10.1016/j.eng.2022.05.017},
author = {Jingda Wu and Zhiyu Huang and Zhongxu Hu and Chen Lv},
}

License

This repo is released under GNU GPLv3 License.