I am a DPhil student of WhiRL at University of Oxford, advised by Prof. Shimon Whiteson. I’m also a member of AIMS CDT. I’m generally interested in improving the efficiency and generalization of reinforcement learning (RL). Currently I mainly focus on meta-RL and multi-task RL to achieve this goal, with application in domains such as robotic control and automated algorithm design.

Previously, I graduated from Tsinghua University with Bachelor in Electronic Engineering and Master in Computer Science, working on automated machine learning with Prof. Wenwu Zhu.

Email / Google Scholar / Github / Zhihu 知乎

Education

• University of Oxford (2020 - Expected 2024), DPhil in Computer Science, supervised by Prof. Shimon Whiteson
• Tsinghua University (2017 - 2020), MSc in Computer Science, supervised by Prof. Wenwu Zhu.
• Tsinghua University (2013 - 2017), BSc in Electronic Engineering

Work Experience

• Huawei, London (2023.8 - 2023.12)
• Mila (2019.12 - 2020.3), advised by Prof. Jian Tang
• University of Freiburg (2019.7 - 2019.9), advised by Prof. Frank Hutter

Publications

• Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
  Filippos Christianos*, Georgios Papoudakis*, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang
  Paper

• Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
  NeurIPS 2023
  Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
  Paper

• Universal Morphology Control via Contextual Modulation
  ICML 2023
  Zheng Xiong, Jacob Beck, Shimon Whiteson
  Paper / Code

• A Survey of Meta-Reinforcement Learning
  Jacob Beck*, Risto Vuorio*, Evan Zheran Liu, Zheng Xiong, Luisa Zintgraf, Chelsea Finn, Shimon Whiteson
  Paper

• On the practical consistency of meta-reinforcement learning algorithms
  NeurIPS 2021 Meta Learning Workshop
  Zheng Xiong, Luisa Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson
  Paper

• Graph policy network for transferable active learning on graphs
  NeurIPS 2020
  Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
  Paper / Code

• Auto-Lifelong: An AutoML System for Lifelong Machine Learning
  ICML 2019 AutoML Workshop (contributed talk). The second-place winning solution to NeurIPS 2018 AutoML Challenge
  Zheng Xiong, Wenpeng Zhang, Jiyan Jiang, Wenwu Zhu
  Paper / Code