Yihao Sun

M.Sc. Student, LAMDA Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology Nanjing University
Supervisor: Prof. Yang Yu
Email: sunyh@lamda.nju.edu.cn

[ Google Scholar ] [ Github ]

Biography

I just had a three-year memorable graduate study at School of Artificial Intelligence in Nanjing University. I was also a member of LAMDA Group, led by Professor Zhi-Hua Zhou.

Now, I’m waiting the approval of my study permit for PhD study in Canada. Hope I can be on track as soon as possible.

Research Interests

My research interest is reinforcement learning (RL). Currently, I focus on offline reinforcement learning (Offline RL) and model-based reinforcement learning (MBRL).

News

Sep 26, 2024 Our work Provably and practically efficient adversarial imitation learning with general function approximation is accepted by NeurIPS 2024!
May 3, 2024 Our work Policy Representation Can be Utilized for More Generalizable Offline Dynamics Model Learning is accepted by ICML 2024!
Jan 16, 2024 Our work Flow to better: Offline preference-based reinforcement learning via preferred trajectory generation is accepted by ICLR 2024!
Dec 9, 2023 Our work Episodic return decomposition by difference of implicitly assigned sub-trajectory reward is accepted by AAAI 2024!

Selected Publications

* indicates equal contribution
  1. ICML
    Model-Bellman inconsistency for model-based offline reinforcement learning | [ Link Code ]
    Yihao Sun* , Jiaji Zhang*, Chengxing Jia, Haoxin Lin, Junyin Ye, and Yang Yu.
    In Proceedings of the 40th International Conference on Machine Learning (ICML’23). 2023.
  2. ICLR
    Flow to better: Offline preference-based reinforcement learning via preferred trajectory generation | [ Link Code ]
    Zhilong Zhang*, Yihao Sun* , Junyin Ye, Tianshuo Liu, Jiaji Zhang, and Yang Yu.
    In Proceedings of the 12th International Conference on Learning Representations (ICLR’24). 2024.


    Correspondence


    Email: sunyh@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.