Ruiqi Xue @ LAMDA, NJU-AI

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薛瑞奇
Ruiqi Xue
M.Sc. Student, LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Supervisor: Prof. Yang Yu
Email: xuerq@lamda.nju.edu.cn
Laboratory: Shaoyifu Building, Nanjing University Xianlin Campus

Biography

Currently I am a M.Sc. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

I received my B.Sc. degree in Artificial Intelligence from School of Artificial Intelligence, Nanjing University in June 2024. In September 2024, I was admitted to pursue a M.Sc. degree in Nanjing University, under the supervision of Professor Yang Yu.

Research Interests

My research interest includes Reinforcement Learning and its applications. Recently, I am interested in

Publications

Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu. Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation, In: AAMAS'24, Auckland, New Zealand, 2024. [paper]

Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan. Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator, In: ECML-PKDD'24, Vilnius, Lithuania, 2024. [paper]

Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu. Learning to Reuse Policies in State Evolvable Environments, In: ICML'25, Vancouver, Canada, 2025. [paper]

Ruiqi Xue, Ziqian Zhang, Lihe Li, Cong Guan, Lei Yuan, Yang Yu. Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer, In: NeurIPS'25, San Diego, America, 2025. [Paper to be uploaded]

Preprints

Zhaohan Feng, Ruiqi Xue, Lei Yuan, Yang Yu, Ning Ding, Meiqin Liu, Bingzhao Gao, Jian Sun, Xinhu Zheng, Gang Wang. Multi-agent Embodied AI: Advances and Future Directions, arXiv preprint arXiv:2505.05108, 2025. [paper]

Ruiqi Xue, Lei Yuan, Kainuo Cheng, Jing-Wen Yang, Yang Yu. Proactive Cost Generation for Offline Safe Reinforcement Learning Without Unsafe Data. [In submission]

Awards & Honors

  • 2021年度周大福奖学金二等奖
  • 华为奖学金
  • 第三届腾讯开悟多智能体强化学习大赛第五名
  • 2023年度人工智能学院学术科研之星
  • 2023年度人民奖学金一等奖
  • 人工智能学院优秀毕业论文
  • 第十九届挑战杯揭榜挂帅全国特等奖
  • Correspondence

    Email: xuerq@lamda.nju.edu.cn

    Laboratory: A201, 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.)