About Me

I am a second-year Ph.D. stduent at Carnegie Mellon University, advised by Prof. Fei Fang. I did my undergrad at Shanghai Jiao Tong University, and is a member of the ACM Honors Class. Here is a link to my CV.

My research interests mainly lie in Explainable Reinforcement Learning (XRL), (Model-based) Multi-agent RL, Explainable AI, AI for public health, and application in addressing real-world societal challenges.

Contact Info

  • Email: zczhang [at] cmu.edu, or zhichen3 [at] cs.cmu.edu

Publications

  1. Stephanie Milani*, Zhicheng Zhang*, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos E. Papalexakis, and Fei Fang. MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2022. [PDF]


  2. Xihuai Wang, Zhicheng Zhang, Weinan Zhang. Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects. arXiv preprint arXiv:2203.10603 (2022) [PDF]


  3. Jian Shen*, Mingcheng Chen*, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, and Yong Yu. Model-based Offline Policy Optimization with Distribution Correcting Regularization. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2021. [PDF]


  4. Menghui Zhu*, Minghuan Liu*, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, and Wei Yang. MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021. [PDF]

* for equal contribution.