Yuping Luo

A Ph.D. student in Computer Science Department, Princeton University

Yuping Luo (罗雨屏)

I received my Ph.D. from Computer Science Department in Princeton University where I’m fortunate to be advised by Prof. Sanjeev Arora. Before that, I was an undergrad at Institute for Interdisciplinary Information Sciences in Tsinghua University, a.k.a. Andrew Yao’s CS pilot class.

I am broadly interested by algorithm design and reinforcement learning, especially deep (model-based) reinforcement learning.

Work Experience

  • Intern @ Facebook AI Research
    2018 May — 2018 Sep
  • Intern @ OpenAI
    2017 Jul — 2017 Sep
  • Intern @ Google Brain
    2015 Jul — 2015 Dec


Reviewing: ICLR 2022/2021/2020/2019, NeurIPS 2021/2020, ICML 2022/2021/2020, ISAAC 2015.


  • Theoretical Foundations of Deep Learning (COS 597G, 2018);
  • Theory of Algorithms (COS 423, 2019);
  • Mathematical Understanding of Deep Learning (COS 598B, 2022).