Multi-Agent Adversarial Inverse Reinforcement Learning

Lantao Yu, Jiaming Song, Stefano Ermon
International Conference on Machine Learning (ICML), 2019.

Running the Code

• For code implementing MA-AIRL, please visit multi-agent-irl folder.
• For the OpenAI particle environment code, please visit multi-agent-particle-envs folder.

Citation

If you find this code useful, please consider citing our paper:

@inproceedings{yu2019multi,
  title={Multi-Agent Adversarial Inverse Reinforcement Learning},
  author={Yu, Lantao and Song, Jiaming and Ermon, Stefano},
  booktitle={International Conference on Machine Learning},
  pages={7194--7201},
  year={2019}
}