CV

Education

• B.S. in Computer Science and Technology, Tsinghua University, 2022 - 2026(expected)
  • GPA: 3.88/4.0 (ranking 48/187)
  • A+ courses: Linear Algebra, Discrete Mathematics II, Principles of Signal Processing

Research Experience

• Tsinghua Embodied AI Lab, Tsinghua University
  • Research Assistant, 2023 - Present
  • Research on reinforcement learning algorithms for robotic tasks and large language models
  • Projects:
  • “A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control”(https://arxiv.org/abs/2507.02712) Accepted to ICML 2025
  • Supervisor: Prof. Huazhe Xu

Internships

• Shanghai Qi Zhi Institute, Shanghai, China
  • Research Intern, 2025 - Present
  • Supervisor: Prof. Huazhe Xu
• Microsoft Research Asia, Beijing, China
  • Research Intern, summer 2025
  • Supervisor: Dr. Xian Zhang

Publications

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control

Kang Z, Hu C, Luo Y, et al. A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control[C]//Forty-second International Conference on Machine Learning.