About Me
Open to internship Open to collaboration
I am currently a PhD student at Institute of Automation, Chinese Academy of Sciences, advised by Prof. Guoliang Fan. I obtained my B.Eng. (2022) at Wuhan University, advised by Prof. Wen Yang. Currently, I am jointly trained at Zhongguancun Academy in Beijing under the supervision of Prof. Chao Yu, and collaborating with Infinigence AI on developing and maintaining the RLinf framework.
Previously I was a research intern at Microsoft Research Asia (MSRA), where I worked on multi-agent reinforcement learning under the guidance of mentor Xianliang Yang and Lei Song.
I am now a research intern with the Qwen-VL team at Alibaba, where I work on general-purpose embodied reward models under the guidance of Jian Guan and Shuai Bai.
My current research interests include embodied intelligence, multi-agent reinforcement learning, and LLM for RL.
Research Focus
Embodied Intelligence
Building intelligent agents that interact with physical environments through perception, reasoning, and action.
Primary FocusLLM for RL
Leveraging large language models to enhance reinforcement learning through semantic understanding, reasoning, and decision-making.
Active ResearchMulti-Agent RL
Designing efficient algorithms for cooperative and competitive multi-agent reinforcement learning scenarios.
Core ExpertisePublications
Experience
