陈瑞峰 Ruifeng Chen Ph.D. Student, LAMDA Group School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Supervisor: Prof. Yang Yu Email: chenrf@lamda.nju.edu.cn Laboratory: Shaoyifu Building, Xianlin Campus of Nanjing University

Biography

Currently I am a second year Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, which is led by professor Zhi-Hua Zhou.

I received my B.Sc. degree in School of the Gifted Young in June 2021 from University of Science and Technology of China. In September 2021, I was admitted to study for a Ph.D. degree in Nanjing University under the supervision of Prof. Yang Yu.

Research Interests

My research interest is Reinforcement Learning. Especially, I am interested in

• Model-based Reinforcement Learning & World Models

• Offline Reinforcement Learning

• Diffusion Models for RL

• Abstraction in RL and World Models

Publications

• Semantic Skill Extraction via Vision-Language Model Guidance for Efficient Reinforcement Learning.
  Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu.
  In Proceedings of the 13th International Conference on Learning Representation (ICLR 2025), Singapore, 2025.

• Offline Transition Modeling via Contrastive Energy Learning.
  Ruifeng Chen*, Chengxing Jia*, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu.
  In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024.

• Policy-conditioned Environment Models are More Generalizable.
  Ruifeng Chen*, Xiong-Hui Chen*, Yihao Sun, Siyuan Xiao, Minhui Li, Yang Yu.
  In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024.

• Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning.
  Xu-Hui Liu*, Tian-Shuo Liu*, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu.
  In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024.

• Foresight Distribution Adjustment for Off-policy Reinforcement Learning.
  Ruifeng Chen*, Xu-Hui Liu*, Tian-Shuo Liu*, Shengyi Jiang, Feng Xu, Yang Yu.
  In Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024), Auckland, New Zealand, 2024.

• How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement.
  Xu-Hui Liu*, Feng Xu*, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang and Yang Yu.
  In Proceedings of the 22rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2023), London, UK, 2023.

Awards and Honors

• Postgraduate Scholarship of Nanjing University, 2021

• National Encouragement Scholarship, 2017

Teaching Assistant

• Mathematical Analysis II (for undergraduate students, Spring, 2024)

Correspondence

Email: chenrf@lamda.nju.edu.cn

Laboratory: Shaoyifu Building, Xianlin Campus of Nanjing University

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)