Zhai Xiaochen

Undergraduate Student @ Nanjing University

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Computer Science & Technology

(Brain Science and AI)

Nanjing University

Hi, I am Xiaochen Zhai (Zhai Xiaochen, 翟笑晨), an undergraduate student at Nanjing University, majoring in Computer Science and Technology with a focus on Brain Science and AI. Currently ranked 2/24 in my program, I am passionate about advancing the frontiers of AI through rigorous research and implementation.

My research interests lie in Generative Models, Imitation Learning, World Models, and Embodied AI. I believe in combining strong mathematical foundations with practical coding skills to tackle challenging problems in machine learning and robotics.

Research Experience

Nanjing University · Research Intern
Aug 2025 – Present
Tsinghua University · Research Intern
Dec 2025 – Mar 2026
Tsinghua University · Research Assistant
Jul 2026 – Present

My recent work on non-adversarial imitation learning has been accepted to ICML 2026, where we explore provably eliminating compounding errors through Bellman constraints.

Beyond Research

I am deeply committed to community service, having served as a peer mentor and led various student organizations at Nanjing University. I am self-motivated, eager to explore cutting-edge technologies, and always ready to collaborate on exciting research projects.

news

May 01, 2026 Our paper on non-adversarial imitation learning has been accepted to ICML 2026! :tada:
Dec 03, 2025 Joined Tsinghua AIR as a research intern, focusing on robot parkour learning and embodied AI.
Aug 24, 2025 Started research internship at LAMDA-RL Lab, Nanjing University! Excited to work on reinforcement learning and robotic control.

latest posts

selected publications

  1. ICML
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    Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints
    Tian Xu, Chenyang Wang, Xiaochen Zhai, and 3 more authors
    International Conference on Machine Learning, 2026