About Me

Hello! I am a first-year Ph.D. in Computer Science at Purdue University, advised by Prof. Joseph Campbell. Previously I obtained my M.S. degree in Robotics (MSR) at Carnegie Mellon University under Prof. Katia Sycara, collaborating with Honda Research Institute. I work on single/multi-agent Reinforcement Learning (RL) utilizing LLM to train AI agents with humanlike acting and learning habits, improving time and resource efficiency and robustness of RL. My areas of interest encompass human-value aligned RL (such as RLHF, RLAIF), reward specification, multi-agent collaboration analogous to human teamwork, human-in-the-loop interaction and adaptation, and so on. My long-term research goal is to develop AI agents which can not only seamlessly interact with each other, but also with human partners.

I earned my bachelor’s degree at the Chinese University of Hong Kong, Shenzhen, where I had the privilege of conducting research and completing my thesis under the guidance of Prof. Tin Lun Lam. I was also fortunate to participate in the CMU Robotics Institute Summer Scholars (RISS) program in 2022, where I worked with Prof. Sebastian Scherer. Here is my CV.

News

[Jan 2025] IGSES is accepted to AAAI 2025 for oral presentation!

[Nov 2024] Excited to attend EMNLP 2024 in Miami—looking forward to connecting with everyone there!

[Sept 2024] Thrilled to share that our paper has been accepted to EMNLP 2024!

[Aug 2024] Happy and honored to engage in discussions with so many insightful RL researchers at RLC 2024!

[Jun 2024] Our paper has been accepted to the RLBrew workshop of RLC 2024!

[Oct 2023] It was great connecting with everyone at IROS 2023 in Detroit!

Professional Service

Served as a reviewer for RAL 2025, Neurips ARLET 2025, ICRA 2024, 2025 and IEEE Transactions on Games 2024