AI-Olympics: Exploring the Generalization of Agents through Open Competitions
Published on IJCAI, 2024
Chen Wang, Yan Song, Shuai Wu, Sa Wu, Ruizhi Zhang, Shu Lin, Haifeng Zhang
Publications
You can also find my articles on my Google Scholar profile.
Conference Papers
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
Published on AAMAS, 2024
Yan Song*, He Jiang*, Haifeng Zhang, Zhen Tian, Weinan Zhang, Jun Wang
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning
Published on AAMAS, 2024
Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
Journal Articles
An empirical study on google research football multi-agent scenarios
Published on Machine Intelligence Research, Volume 21, pages 549–570, (2024), 2024
Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang & Jun Wang
Preprints
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Released on Arxiv, 2024
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang
Efficient Reinforcement Learning with Large Language Model Priors
Released on Arxiv, 2024
Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou Ammar, Jun Wang
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
Released on Released on Arxiv, 2024
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang