Xiaochen Zhai

Undergraduate Student @ Nanjing University

prof_pic.jpg

Computer Science & Technology

(Brain Science and AI)

Nanjing University

I am 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

I am fortunate to work with exceptional researchers at:

  • LAMDA-RL Lab at Nanjing University (Aug 2025 - Present)
  • Institute for AI Industry Research (AIR) at Tsinghua University (Dec 2025 - Mar 2026)

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 autonomous driving and embodied AI.
Aug 24, 2025 Started research internship at LAMDA-RL Lab, Nanjing University! Excited to work on reinforcement learning and robotic control.

selected publications

  1. ICML
    Dual-Q.png
    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