Human-in-the-loop-Deep-Reinforcement-Learning
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(Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving
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".
Getting started
-
Install the CARLA simulator (0.9.7), with referring to https://carla.readthedocs.io/en/latest/start_quickstart/#a-debian-carla-installation
-
Install the dependent package
pip install -r requirements.txt
- Run the training procedure
python train_offline.py
Training performance of different algorithms
![](https://github.com/wujingda/Human-in-the-loop-Deep-Reinforcement-Learning/raw/main/results.png)
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.