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Langevin Policy for Safe Reinforcement Learning

This repository provides an implementation of Langevin Actor-Critic (LAC).

Requirements

Usage

Example Safexp-CarGoal1-v0 tasks

python main.py --env-id Safexp-CarGoal1-v0 --constraint safety --seed 0

Citation

If you find our work helpful, please cite:

@inproceedings{
    lei2024langevin,
    title={Langevin Policy for Safe Reinforcement Learning},
    author={Lei, Fenghao and Yang, Long and Wen, Shiting and Huang, Zhixiong and Zhang, Zhiwang and Pang, Chaoyi},
    booktitle={Forty-first International Conference on Machine Learning},
    year={2024},
    url={https://openreview.net/forum?id=xgoilgLPGD}
}

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