update

Project.md

@@ -5,14 +5,16 @@ If you use OpenRL in your research projects, feel free to tell us about it and j
 
 ### MQE
 
-Description: the Multi-agent Quadruped Environment (MQE) is a novel platform designed to facilitate the development and evaluation of multi-agent reinforcement learning (MARL) algorithms in realistic and dynamic scenarios.
+Description: The Multi-agent Quadruped Environment (MQE) is a novel platform designed to facilitate the development and evaluation of multi-agent reinforcement learning (MARL) algorithms in realistic and dynamic scenarios.
 
 - Paper: [MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment](https://arxiv.org/abs/2403.16015)
 - Authors: Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
+- Main Page: https://ziyanx02.github.io/multiagent-quadruped-environment/
+- Github: https://github.com/ziyanx02/multiagent-quadruped-environment
 
 ### LLMArena
 
-Description:  LLMArena is a novel and easily extensible framework for evaluating the diverse capabilities of LLM in multi-agent dynamic environments.
+Description: LLMArena is a novel and easily extensible framework for evaluating the diverse capabilities of LLM in multi-agent dynamic environments.
 
 - Paper: [LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments](https://arxiv.org/abs/2402.16499)
 - Authors: Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
@@ -34,5 +36,6 @@ Experimental results show that our method efficiently finds diverse strategies i
 
 - Paper: [DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization](https://arxiv.org/abs/2207.05631)(AAAI 2024)
 - Authors: Wenze Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
+- Github: https://github.com/OpenRL-Lab/DGPO