基本信息
浏览量:0
职业迁徙
个人简介
I am an AI scientist whose career goal is to understand computational principles underlying intelligence. More specifically, I study agents that interact with a sequential environment to improve their behavior through trial and error. This agent-environment interaction is referred to as the reinforcement learning problem.
I have a PhD and an extensive background in the theoretical and empirical foundations of reinforcement learning. I have published more than a dozen papers at top-tier AI conferences such as Neurips, ICML, AAAI, and ACL. On the academic side, I have become super interested in understanding optimization in the context of learning the value function in reinforcement learning. On the aplication side, I am quite interested in the developing assistive AI agents that interact with humans and learn from feedback to provide better service. My aspiration is to make AI agents that co-exist with and help us live our best lives.
I have a PhD and an extensive background in the theoretical and empirical foundations of reinforcement learning. I have published more than a dozen papers at top-tier AI conferences such as Neurips, ICML, AAAI, and ACL. On the academic side, I have become super interested in understanding optimization in the context of learning the value function in reinforcement learning. On the aplication side, I am quite interested in the developing assistive AI agents that interact with humans and learn from feedback to provide better service. My aspiration is to make AI agents that co-exist with and help us live our best lives.
研究兴趣
论文共 26 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(2023)
引用0浏览0引用
0
0
AISTATSpp.1390-1410, (2023)
引用0浏览0EI引用
0
0
NeurIPS (2023)
引用1浏览0EI引用
1
0
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