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Wei Qiu 0001
Person information
- affiliation: Nanyang Technological University, School of Computer Science and Engineering,, Singapore
Other persons with the same name
- Wei Qiu — disambiguation page
- Wei Qiu 0002
— Hunan University, College of Electrical and Information Engineering, Changsha, China (and 2 more)
- Wei Qiu 0003
- Wei Qiu 0004
- Wei Qiu 0005
- Wei Qiu 0006 — University of Washington, Paul G. Allen School of Computer Science, Seattle, WA, USA
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2020 – today
- 2023
- [c9]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. AAMAS 2023: 2424-2426 - [c8]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
A Learning Approach to Complex Contagion Influence Maximization. AAMAS 2023: 2622-2624 - [c7]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR 2023 - [c6]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
Complex Contagion Influence Maximization: A Reinforcement Learning Approach. IJCAI 2023: 5531-5540 - [i7]Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan:
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR abs/2302.03429 (2023) - 2022
- [c5]Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo:
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. AAMAS 2022: 1418-1426 - [i6]Wei Qiu, Weixun Wang
Off-Beat Multi-Agent Reinforcement Learning. CoRR abs/2205.13718 (2022) - [i5]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR abs/2210.09646 (2022) - 2021
- [c4]Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich:
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. NeurIPS 2021: 23049-23062 - [c3]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-aware influence maximization: A reinforcement learning approach. UAI 2021: 1535-1545 - [i4]Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich:
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. CoRR abs/2102.08159 (2021) - [i3]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach. CoRR abs/2106.07039 (2021) - [i2]Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo:
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. CoRR abs/2108.03803 (2021) - 2020
- [c2]Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich:
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. ICML 2020: 9908-9918
2010 – 2019
- 2019
- [c1]Wei Qiu, Haipeng Chen
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. IJCAI 2019: 4568-4574 - [i1]Rundong Wang, Xu He
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. CoRR abs/1911.06992 (2019)
Coauthor Index
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