@article{wang2023towards,title={Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning},author={Wang, Rundong and Zheng, Longtao and Qiu, Wei and He, Bowei and An, Bo and Rabinovich, Zinovi and Hu, Yujing and Chen, Yingfeng and Lv, Tangjie and Fan, Changjie},journal={arXiv},year={2023},}
Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, and Changjie Fan
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Extended Abstract), 2023
@article{qiu2023off,title={Off-Beat Multi-Agent Reinforcement Learning},author={Qiu, Wei and Wang, Weixun and Wang, Rundong and An, Bo and Hu, Yujing and Obraztsova, Svetlana and Rabinovich, Zinovi and Hao, Jianye and Chen, Yingfeng and Fan, Changjie},journal={International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Extended Abstract)},year={2023},}
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning
Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, and Zhongwen Xu 📧
International Conference on Learning Representations (ICLR), 2023
@article{qiu2023rpm,title={RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning},author={Qiu, Wei and Ma, Xiao and An, Bo and Obraztsova, Svetlana and Yan, Shuicheng and Xu 📧, Zhongwen},journal={International Conference on Learning Representations (ICLR)},year={2023},}
A Learning Approach to Complex Contagion Influence Maximization
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, and Milind Tambe
International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) (Extended Abstract), 2023
@article{chen2023im,title={A Learning Approach to Complex Contagion Influence Maximization},author={Chen, Haipeng and Wilder, Bryan and Qiu, Wei and An, Bo and Rice, Eric and Tambe, Milind},journal={International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) (Extended Abstract)},year={2023},}
A Learning Approach to Complex Contagion Influence Maximization
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, and Milind Tambe
International Joint Conference on Artificial Intelligence (IJCAI), 2023
@article{chen2023imIJCAI2023,title={A Learning Approach to Complex Contagion Influence Maximization},author={Chen, Haipeng and Wilder, Bryan and Qiu, Wei and An, Bo and Rice, Eric and Tambe, Milind},journal={International Joint Conference on Artificial Intelligence (IJCAI)},year={2023},}
2022
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Wanqi Xue, Wei Qiu 📧, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, and Kiat Yeo Chai
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022
@article{xue2022mis,title={Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning},author={Xue, Wanqi and Qiu 📧, Wei and An, Bo and Rabinovich, Zinovi and Obraztsova, Svetlana and Chai, Kiat Yeo},journal={International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},pages={1418–1426},year={2022},}
2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, and Zinovi Rabinovich
Advances in Neural Information Processing Systems (NeurIPS), 2021
@article{qiu2021rmix,title={RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents},author={Qiu, Wei and Wang, Xinrun and Yu, Runsheng and He, Xu and Wang, Rundong and An, Bo and Obraztsova, Svetlana and Rabinovich, Zinovi},journal={Advances in Neural Information Processing Systems (NeurIPS)},pages={23049-23062},year={2021},}
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, and Milind Tambe
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
@article{chen2021im,title={Contingency-Aware Influence Maximization: A Reinforcement Learning Approach},author={Chen, Haipeng and Qiu, Wei and Ou, Han-Ching and An, Bo and Tambe, Milind},journal={Conference on Uncertainty in Artificial Intelligence (UAI)},pages={1535-1545},year={2021},}
2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, and Zinovi Rabinovich
International Conference on Machine Learning (ICML), 2020
@article{wang2020imac,title={Learning Efficient Multi-agent Communication: An Information Bottleneck Approach},author={Wang, Rundong and He, Xu and Yu, Runsheng and Qiu, Wei and An, Bo and Rabinovich, Zinovi},journal={International Conference on Machine Learning (ICML)},pages={9908-9918},year={2020},}
2019
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks
Wei Qiu, Chen Haipeng, and Bo An
International Joint Conference on Artificial Intelligence (IJCAI), 2019
@article{qiu2019etc,title={Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks},author={Qiu, Wei and Haipeng, Chen and An, Bo},journal={International Joint Conference on Artificial Intelligence (IJCAI)},pages={4568-4574},year={2019},}
