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ORCIDHengxi Zhang
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2020 – today
- 2024
[c6]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- [i4]Ting Dong, Haoxin Wang, Hengxi Zhang, Wenbo Ding:
Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms. CoRR abs/2404.08501 (2024) - 2023
- [j3]Hengxi Zhang
, Chengyue Lu, Huaze Tang, Xiaoli Wei, Le Liang, Ling Cheng, Wenbo Ding, Zhu Han:
Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks. IEEE Internet Things J. 10(3): 2667-2679 (2023) - [j2]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) - [c5]Hengxi Zhang, Huaze Tang, Wenbo Ding, Xiao-Ping Zhang:
Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks. UbiComp/ISWC Adjunct 2023: 712-717 - [c4]Huaze Tang, Hengxi Zhang, Zhenpeng Shi, Xinlei Chen, Wenbo Ding, Xiao-Ping Zhang:
Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning. IROS 2023: 8820-8826 - [i3]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) - [i2]Hengxi Zhang, Huaze Tang, Wenbo Ding, Xiao-Ping Zhang:
Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks. CoRR abs/2308.03995 (2023) - 2022
- [j1]Xinyi Yang, Ziyi Wang, Hengxi Zhang, Nan Ma, Ning Yang, Hualin Liu, Haifeng Zhang, Lei Yang:
A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas. Algorithms 15(6): 205 (2022) - [c3]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)
2000 – 2009
- 2008
- [c2]Wensheng Yin, Pinghui Tu, Xiuguo Chen, Hengxi Zhang:
Problem Oriented Analysis and Decision Expert System with large capacity knowledge-base. ISKE 2008: 32-37 - 2006
- [c1]Yangyi Jiang, Hengxi Zhang, Jiang Xie, Ke Meng:
An Estimation Model of Research Cost Based on Rough Set and Artificial Neural Network. ICIC (2) 2006: 766-771
Coauthor Index
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