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- [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
预印本分享 §
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学术会议 §
- Reviewer
- ICML 2022, 2023
- NeurIPS 2022, 2023
- ICLR 2024