Lirui Luo

PKU & BIGAI, Beijing, China

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I am a Ph.D. student in the School of Intelligence at Peking University (PKU), majoring in Computer Science and Technology (Intelligent Science and Technology), advised by Cong Fang. I received my B.E. in Communication Engineering from the School of Electronic and Information Engineering at Beijing Jiaotong University (BJTU) in 2023.

I am also a long-term research intern at Beijing Institute for General Artificial Intelligence (BIGAI), affiliated with the Agent Learning Department and mentored by Dr. Qing Li and Dr. Guoxi Zhang.

My current research aims to build mathematical foundations for agents that can learn continually, adapt, and evolve. Concretely, I am interested in applying optimization theory to continual learning in neural networks and large models. In addition, I view reinforcement learning as a promising way for agents to self-improve beyond direct human supervision, and I am currently building continual-learning reinforcement learning agents.

news

Jan 30, 2026 MVR accepted by ICLR 2026.
Jun 13, 2024 INSIGHT has been selected as a spotlight-designated paper.
May 22, 2024 INSIGHT accepted by ICML 2024.

experiences

publications

  1. ICLR
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    MVR: Multi-view Video Reward Shaping for Reinforcement Learning
    Lirui Luo, Guoxi Zhang, Hongming Xu, and 3 more authors
    ICLR, 2026
  2. ICML
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    End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
    Lirui Luo, Guoxi Zhang, Hongming Xu, and 3 more authors
    ICML, 2024