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2020 – today
- 2024
[c5]Hengxi Zhang, Zhendong Shi, Yuanquan Hu, Wenbo Ding, Ercan E. Kuruoglu, Xiao-Ping Zhang:
Optimizing Trading Strategies in Quantitative Markets Using Multi-Agent Reinforcement Learning. ICASSP 2024: 136-140- [c4]Huaze Tang, Yuanquan Hu, Fanfan Zhao, Junji Yan, Ting Dong, Wenbo Ding:
M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space. ICASSP 2024: 7250-7254 - 2023
- [j1]Yuanquan Hu, Xiaoli Wei
, Junji Yan, Hengxi Zhang:
Graphon mean-field control for cooperative multi-agent reinforcement learning. J. Frankl. Inst. 360(18): 14783-14805 (2023) - [c3]Fanfan Zhao, Yuanquan Hu, Wai Kin Victor Chan:
An Ensemble Learning Method for Volunteer Retention Prediction. MLSP 2023: 1-6 - [i2]Hengxi Zhang, Zhendong Shi, Yuanquan Hu, Wenbo Ding, Ercan E. Kuruoglu, Xiao-Ping Zhang:
Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning. CoRR abs/2303.11959 (2023) - 2022
- [c2]Hengxi Zhang, Huaze Tang, Yuanquan Hu, Xiaoli Wei, Chenye Wu, Wenbo Ding, Xiao-Ping Zhang:
Heterogeneous Mean-Field Multi-Agent Reinforcement Learning for Communication Routing Selection in SAGI-Net. VTC Fall 2022: 1-5 - [i1]Yuanquan Hu, Xiaoli Wei, Junji Yan, Hengxi Zhang:
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2209.04808 (2022)
2010 – 2019
- 2019
- [c1]Minye Wu, Guli Zhang, Ning Bi, Ling Xie, Yuanquan Hu, Zhiru Shi:
Multiview Vehicle Tracking by Graph Matching Model. CVPR Workshops 2019: 29-36
Coauthor Index
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