基本信息
浏览量:121
职业迁徙
个人简介
His current research is in the area of Reinforcement Learning, with emphasis on using stochastic approximation theory. More broadly, he is interested in machine learning, systems and control theory, and their applications. Vidyasagar has received a number of awards in recognition of his research contributions, including Fellowship in The Royal Society, the world's oldest scientific academy in continuous existence, the IEEE Control Systems (Technical Field) Award, the Rufus Oldenburger Medal of ASME, the John R. Ragazzini Education Award from AACC, and others. He is the author of thirteen books and more than 160 papers in peer-reviewed journals.
研究兴趣
论文共 396 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
arXiv (Cornell University)pp.182-187, (2023)
2023 NINTH INDIAN CONTROL CONFERENCE, ICCpp.182-187, (2023)
CoRRno. 1 (2023): 172-191
引用0浏览0EI引用
0
0
Shashank Ranjan,M. Vidyasagar
2023 NINTH INDIAN CONTROL CONFERENCE, ICCpp.7-9, (2023)
加载更多
作者统计
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