Yao Tang 唐尧

Hi! I am an undergraduate from Shanghai Jiao Tong University (SJTU). My research interests mainly lie in teaching agents how to reason and plan. I have been involved in several research projects on sequential decision making and reinforcement learning. Currently, I'm working as an undergraduate research intern in SJTU, advised by Dr. Tong Yu and Prof. Shuai Li.

Feel free to contact me if you are interested in my research!

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Research Experiences

I am generally interested in teaching agents how to reason and plan. In my past one and a half years of research experience, I have explored multiple directions, including:

  • Self-Supervised Pre-training for Reinforcement Learning: how to pretrain a unified model on unlabeled data that can quickly adapt to various downstream tasks.
  • Conditional generative modeling of Decision Making: how to solve decision-making through generative models especially when complete state information is inaccessible.
  • Publications
    FutureDD: Planning in POMDP with Encoded Future Dynamics
    Yao Tang, Zhihui Xie, Tong Yu, Bokai Hu, Shuai Li
    In preparation.
    Curriculum Masking for Multi-Skill Pretraining
    Yao Tang*, Zhihui Xie*, Zichuan Lin, Deheng Ye, Shuai Li
    Under Review.
    Risk-Aware Constrained Reinforcement Learning with Non-Stationary Policies
    Zhaoxing Yang, Haiming Jin, Yao Tang, Guiyun Fan
    AAMAS 2024.
    Experience
    Adobe logo
    Adobe Research

    Shanghai, China
    Remote Collaboration
    Advisor: Dr. Tong Yu and Prof. Shuai Li
    SJTU logo
    Shanghai Jiao Tong University

    Shanghai, China
    GPA till now: 3.83 (Top 20%)
    B.Eng. in Computer Science and Technology
    Honors
    Jing'e Overseas Study Funding (9 persons among university), 2023
    Shanghai Jiao Tong University Academic Progress Scholarship (5%), 2022
    Competition of Odyssy of the Mind, China, Second Prize (Top 5), 2021
    National Oil Corporation Scholarship (10%), 2021
    Misc.

    I enjoy dancing and am also a beginner at guitar.