Skip to content

Commit 87052cc

Browse files
authored
Merge pull request #300 from huangshiyu13/main
update
2 parents 20cbbd2 + 0817c7e commit 87052cc

1 file changed

Lines changed: 5 additions & 2 deletions

File tree

Project.md

Lines changed: 5 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -5,14 +5,16 @@ If you use OpenRL in your research projects, feel free to tell us about it and j
55

66
### MQE
77

8-
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.
8+
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.
99

1010
- Paper: [MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment](https://arxiv.org/abs/2403.16015)
1111
- Authors: Ziyan Xiong, Bo Chen, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Yang Gao
12+
- Main Page: https://ziyanx02.github.io/multiagent-quadruped-environment/
13+
- Github: https://github.com/ziyanx02/multiagent-quadruped-environment
1214

1315
### LLMArena
1416

15-
Description: LLMArena is a novel and easily extensible framework for evaluating the diverse capabilities of LLM in multi-agent dynamic environments.
17+
Description: LLMArena is a novel and easily extensible framework for evaluating the diverse capabilities of LLM in multi-agent dynamic environments.
1618

1719
- Paper: [LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments](https://arxiv.org/abs/2402.16499)
1820
- 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
3436

3537
- Paper: [DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization](https://arxiv.org/abs/2207.05631)(AAAI 2024)
3638
- Authors: Wenze Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
39+
- Github: https://github.com/OpenRL-Lab/DGPO
3740

3841

0 commit comments

Comments
 (0)