基本信息
浏览量:106
职业迁徙
个人简介
My primary research interests revolve around Multi-Agent Reinforcement Learning, Robust Reinforcement Learning and Ad Hoc Teamwork. About Multi-Agent Reinforcement Learning and Ad Hoc Teamwork, my emphasis lies in designing algorithms through the lens of Cooperative Game Theory. I firmly believe that integrating fundamental mechanisms from Game Theory into the development of learning algorithms can shed light on interpretability, transparency and reliability of comtemporary learning-based Multi-Agent Systems. Beyond theoretical endeavors, I am passionate about the practical applications of Machine Learning algorithms (particularly Multi-Agent Reinforcement Learning) to Autonomous Systems (e.g. Smart Grids, Robotics, Dialogue Systems, etc.).
研究兴趣
论文共 76 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
International Conference on Automated Planning and Scheduling (2024): 698-706
THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 14pp.16220-16227, (2024)
CoRR (2024)
引用0浏览0EI引用
0
0
CoRR (2024)
引用0浏览0EI引用
0
0
CoRR (2024)
引用0浏览0EI引用
0
0
Int. J. Intell. Syst. (2023): 1-14
David Mguni,Taher Jafferjee,Jianhong Wang,Nicolas Perez-Nieves,Wenbin Song,Feifei Tong,Matthew E. Taylor,Tianpei Yang, Zipeng Dai, Hui Chen,Jiangcheng Zhu, Kun Shao,Jun Wang,Yaodong Yang
AAAI'23/IAAI'23/EAAI'23 Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligencepp.11604-11612, (2023)
加载更多
作者统计
#Papers: 75
#Citation: 990
H-Index: 22
G-Index: 30
Sociability: 5
Diversity: 3
Activity: 37
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn