Publication

*: indicating equal contribution or alphabetic ordering.

Google Scholar.

2022

• 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
  

• A Note on Target Q-learning for Solving Finite MDPs with A Generative Oracle
  Ziniu Li*, Tian Xu*, Yang Yu
  arXiv:2203.11489.

• 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)

2021

• On Generalization of Adversarial Imitation Learning and Beyond
  Tian Xu*, Ziniu Li* , Yang Yu, Zhi-Quan Luo
  arXiv:2106.10424.
  

• A Concise Introduction to Imitation Learning (In Chinese)
  Tian Xu, Ziniu Li, Yang Yu
  

• Error Bounds of Imitating Policies and Environments for Reinforcement Learning
  Tian Xu, Ziniu Li, Yang Yu
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

2020

• Error Bounds of Imitating Policies and Environments
  Tian Xu, Ziniu Li, Yang Yu
  In Advances in Neural Information Processing Systems 33 (NeurIPS), 2020.

• Efficient Exploration by Novelty-pursuit
  Ziniu Li*, Xiong-Hui Chen*
  In Proceedings of the 2nd International Conference on Distributed Artificial Intelligence (DAI), 2020

• Self-Guided Evolution Strategies with Historical Estimated Gradients
  Fei-yu Liu, Ziniu Li, Chao Qian
  In Proceedings of the 29th International Conference on Joint Artificial Intelligence (IJCAI), 2020

• Solving The Inverse Design Problem of Electrical Fuse with Machine Learning
  Xinjian Huang, Ziniu Li, Zhiyuan Liu, Bin Xiang, Yingsan Geng, Jianhua Wang
  In: IEEE Access, 8, 74137-74144, 2020

2019

• On Value Discrepancy of Imitation Learning
  Tian Xu, Ziniu Li, Yang Yu
  arXiv:1911.07027