OPT-AIL

Official code of NeurIPS 2024 paper OPT-AIL: Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation.

Usage

First, you need to install Python packages listed in requirements.txt using pip install -r requirements.txt.

The expert trajectories used during the experiments can be found here: https://drive.google.com/drive/folders/1GiwgfrnFAjZ1JGaw3T-KeViGdOFbkRqr?usp=drive_link

Then, just run the scripts in the scripts dir. You can try as follows:

For dmc tasks:

sh scripts/run_dmc.sh

Citation

If you find this repository useful for your research, please cite:

@inproceedings{
	xu2024provably,
	title={Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation},
	author={Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, and Yang Yu},
	booktitle={The 38th Conference on Neural Information Processing System},
	year={2024},
	url={https://openreview.net/forum?id=7YdafFbhxL}
}