Update README.md

README.md

@@ -384,10 +384,14 @@ reward = torch.exp(-0.2*(dist_rew * dist_reward_scale + rot_dist))
 ## Cite
 If you find the repository useful, please cite the [paper](https://arxiv.org/abs/2110.02793):
 ```
-@article{gu2021multi,
-  title={Multi-Agent Constrained Policy Optimisation},
-  author={Gu, Shangding and Kuba, Jakub Grudzien and Wen, Munning and Chen, Ruiqing and Wang, Ziyan and Tian, Zheng and Wang, Jun and Knoll, Alois and Yang, Yaodong},
-  journal={arXiv preprint arXiv:2110.02793},
-  year={2021}
+@article{gu2023safe,
+  title={Safe Multi-Agent Reinforcement Learning for Multi-Robot Control},
+  author={Gu, Shangding and Kuba, Jakub Grudzien and Chen, Yuanpei and Du, Yali and Yang, Long and Knoll, Alois and Yang, Yaodong},
+  journal={Artificial Intelligence},
+  pages={103905},
+  year={2023},
+  publisher={Elsevier}
 }
+
+
 ```