My publication profile at Google Scholar.

* indicates the equal contribution.


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

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

  • Ziniu Li, Yingru Li, Hao Liang, Tong Zhang. Efficient Exploration by HyperDQN in Deep Reinforcement Learning. Reinforcement Learning for Real Life Workshop @ ICML 2021. [paper] [poster]

  • Tian Xu*, Ziniu Li*, Yang Yu. Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions. arXiv:2106.10424. [paper]


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

  • Ziniu Li*, Xiong-Hui Chen*. Efficient Exploration by Novelty-pursuit. In Proceedings of the 2nd International Conference on Distributed Artificial Intelligence (DAI), 2020. [paper] [poster] [slides] [video] [blog]

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

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


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