I dream

a dream with duality and antithesis
a society where everyone prospers together

Welcome to my website, I am Zhengfei Zhang, or Fei in brief.

I am interested in decision-making that bridges artificial intelligence and societal needs: Computational models give abstraction, societal systems give databases and constraints, and decition-making with responsibility stands between. Here are some topics that recently went to my mind and my hand:

  • How does the outdated data and real-world constraints occur in societal systems impose difficulties on reinforcement learning? And how to address these difficulties provably? [1]
  • How to extract contextual variations and the implied preference in crafting incentives from Chinese environmental governance documents ? [working thesis]
I am currently a Schwarzman Scholar, studying for a Master of Global Affairs. I graduated from Tsien's Class at Tsinghua University in June 2024 specializing in Mechanics and Computer Science, and was awarded a degree with honors.

Please feel free to read more about me, check out my resume and publications, or contact me via email.



Publications

Distributionally Robust Constrained Reinforcement Learning under Strong Duality

Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, and Yisong Yue

Reinforcement Learning Journal, vol. 4, 2024, pp. 1793–1821 / the 1st Reinforcement Learning Conference, 2024

An Invariant Information Geometric Method for High-Dimensional Online Optimization

Zhengfei Zhang, Yunyue Wei, and Yanan Sui

Proceedings of the 6th Annual Learning for Dynamics & Control Conference(L4DC), 2024