基本信息
浏览量:558

个人简介
My long-term research goal is to build machines that can continually learn concepts (e.g., properties, relations, skills, and rules) from their experiences and apply them for reasoning and planning in the physical world.
Concept Learning: neuro-symbolic concept learning, grammar-based language learning, pragmatics.
Reasoning & Planning: relational and temporal models for reasoning, skill learning, task and motion planning.
Scene & Activity Understanding: programmatic scene understanding, activity understanding.
Concept Learning: neuro-symbolic concept learning, grammar-based language learning, pragmatics.
Reasoning & Planning: relational and temporal models for reasoning, skill learning, task and motion planning.
Scene & Activity Understanding: programmatic scene understanding, activity understanding.
研究兴趣
论文共 38 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0EI引用
0
0
ICLR 2023 (2023)
引用3浏览0EI引用
3
0
arxiv(2023)
引用0浏览0EI引用
0
0
Trans. Mach. Learn. Res. (2023)
引用0浏览0EI引用
0
0
Zhutian Yang,Jiayuan Mao,Yilun Du,Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez,Leslie Pack Kaelbling
arxiv(2023)
引用0浏览0引用
0
0
arxiv(2023)
引用0浏览0EI引用
0
0
arxiv(2023)
引用0浏览0EI引用
0
0
arxiv(2023)
引用0浏览0EI引用
0
0
NeurIPS (2022)
引用0浏览0EI引用
0
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