Wanpeng Zhang / 张万鹏¶

Intro¶

• Ph.D. candidate, School of Computer Science, Peking University.
• Email / Github / Google Scholar / DBLP
• My research interests include Reinforcement Learning, Language Modeling. Looking for collaborators!

Biography¶

• Currently I am a Ph.D. candidate of School of Computer Science in Peking University , advised by Prof. Zongqing Lu.

• I received my M.Sc. degree from Department of Computer Science and Technology, Tsinghua University in June 2022.

• I received my B.Sc. degree from School of Mathematical Sciences, Nankai University in June 2019.

• I worked as a research intern at Tencent AI Lab in 2021, advised by Dijun Luo.

Publications¶

• [ICML'23] Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
  • Ziluo Ding*, Wanpeng Zhang*, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu. *co-first authorship
  • arXiv / PDF
• [NeurIPS'22] Model-Based Opponent Modeling
  • Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu.
  • Link / arXiv / PDF
• [AAAI'22] iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
  • Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Shihui Guo, Li Xiao, Xiaoyu Cao, Dijun Luo.
  • Link / arXiv / PDF
• [ICASSP'22] Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning
  • Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao.
  • Link / PDF
• [ACML'21] Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
  • Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Dijun Luo, Xi Xiao.
  • Link / arXiv / PDF
• [ICRA'21] Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
  • Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo.
  • Link / arXiv / PDF / Code
• [ICAPS'21] A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy
  • Zhicheng An, Xiaoyan Cao, Yao Yao, Wanpeng Zhang, Lanqing Li, Yue Wang, Shihui Guo, Dijun Luo.
  • Link / PDF
• [ICASSP'20] Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
  • Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Guojun Gan, Shutao Xia.
  • Link / arXiv / PDF / Code

Preprints¶

• [arXiv'23] RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds
  • Wanpeng Zhang, Zongqing Lu.
  • arXiv / PDF
• [arXiv'23] Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
  • Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu.
  • arXiv / PDF
• [arXiv'21] MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning
  • Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo.
  • arXiv / PDF

Patents¶

• [CN112527104A] Method, device and equipment for determining parameters and storage medium
  • Wanpeng Zhang, Dijun Luo, Xi Xiao
  • Link / PDF

Academic Service¶

• Reviewer
  • ICML 2022, 2023
  • NeurIPS 2022, 2023
  • ICLR 2024