Ziniu Li

PhD student, School of Data Science, The Chinese University of Hong Kong, Shenzhen Email: ziniuli@link.cuhk.edu.cn [Twitter] [Zhihu]

About me

I am a Ph.D. student at The Chinese University of Hong Kong, Shenzhen (CUHKSZ), advised by Prof. Zhi-Quan (Tom) Luo. My research interest is reinforcement learning.

My curriculum vitae can be downloaded at here.

Selective Work

*: indicating equal contribution or alphabetic ordering.

• Rethinking ValueDice: Does It Really Improve Performance?
  Ziniu Li* , Tian Xu*, Yang Yu, Zhi-Quan Luo
  In Proceedings of the 10th International Conference on Learning Representations (ICLR) (Blog Track), 2022
  (This work presents that first reduction of off-line AIL to BC)

• On Generalization of Adversarial Imitation Learning and Beyond
  Tian Xu*, Ziniu Li* , Yang Yu, Zhi-Quan Luo
  arXiv:2106.10424.
  (This work presents the first horizon-free sample complexity bound of online AIL, which provably beats BC)

• HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
  Ziniu Li, Yingru Li, Yushun Zhang, Tong Zhang, Zhi-Quan Luo
  In Proceedings of the 10th International Conference on Learning Representations (ICLR), 2022
  (This work is selected as an oral presentation at Workshop on Ecological Theory of Reinforcement Learning at NeurIPS, 2021)

Service

Reviewer

ICML’2022, ICLR’2022 (Highlighted Award), DAI’2020.

Teaching Assistant

• DDA6111: Discrete Optimization. 2022 Spring, CUHKSZ.

• CSC4120: Design and Analysis of Algorithms. 2021 Fall, CUHKSZ.

• FTE4560: Basic Machine Learning. 2021 Spring, CUHKSZ.

• MAT3007: Introduction to Optimization. 2020 Fall, CUHKSZ.

Award

• [2021-04] Best oral presentation award at the first doctoral and postdoctoral forum of Shenzhen Research Institute of Big Data.