基本信息
浏览量:1021
职业迁徙
个人简介
My research focuses on a fundamental aspect of artificial intelligence -- how intelligent agents learn to make decisions and perform actions in order to achieve their goals.
To develop a general-purpose learning framework, I am interested in studying topics including, but not limited to, representation learning, world-model learning and reasoning, policy learning and planning, multi-agent learning.
Specifically, my goal is to build autonomous agents equipped with the capability of extracting information from perceptions, learning and reasoning world models that are generalized over tasks, predicting consequences of actions, envisioning and setting achievable goals, planning actions to achieve these goals, collaborating with other agents or humans to perform complex tasks, as well as generalizing learned knowledge and sharing learning experiences with other agents.
To approach my goal, my current research is building novel efficient models and methods of deep learning, reinforcement learning, and multi-agent systems, with applications in robotics and video games.
To develop a general-purpose learning framework, I am interested in studying topics including, but not limited to, representation learning, world-model learning and reasoning, policy learning and planning, multi-agent learning.
Specifically, my goal is to build autonomous agents equipped with the capability of extracting information from perceptions, learning and reasoning world models that are generalized over tasks, predicting consequences of actions, envisioning and setting achievable goals, planning actions to achieve these goals, collaborating with other agents or humans to perform complex tasks, as well as generalizing learned knowledge and sharing learning experiences with other agents.
To approach my goal, my current research is building novel efficient models and methods of deep learning, reinforcement learning, and multi-agent systems, with applications in robotics and video games.
研究兴趣
论文共 113 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
ICLR 2024 (2024)
引用0浏览0引用
0
0
Autonomous Agents and Multi-Agent Systemsno. 1 (2024): 1-25
CoRR (2024)
引用0浏览0EI引用
0
0
CoRR (2023): 36626-36669
引用2浏览0EI引用
2
0
CoRR (2023): 8334-8355
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