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A fully value distributional deep reinforcement learning framework for multi-agent cooperation Journal article
Fu, Mingsheng, Huang, Liwei, Li, Fan, Qu, Hong, Xu, Chengzhong. A fully value distributional deep reinforcement learning framework for multi-agent cooperation[J]. Neural Networks, 2025, 184.
Authors:  Fu, Mingsheng;  Huang, Liwei;  Li, Fan;  Qu, Hong;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Deep Reinforcement Learning  Multi-agent Cooperation  Distributional Reinforcement Learning  Neural Networks  
Joint Optimization of Compression, Transmission and Computation for Cooperative Perception Aided Intelligent Vehicular Networks Journal article
Lu, Binbin, Huang, Xumin, Wu, Yuan, Qian, Liping, Zhou, Sheng, Niyato, Dusit. Joint Optimization of Compression, Transmission and Computation for Cooperative Perception Aided Intelligent Vehicular Networks[J]. IEEE Transactions on Vehicular Technology, 2025.
Authors:  Lu, Binbin;  Huang, Xumin;  Wu, Yuan;  Qian, Liping;  Zhou, Sheng; et al.
Favorite | TC[Scopus]:0  IF:6.1/6.5 | Submit date：2025/01/22
Cooperative Perception  Deep Reinforcement Learning  Task Offloading  Vehicular Networks  
Multi-timescale Reward-based DRL Energy Management for Regenerative Braking Energy Storage System Journal article
Chen, Junyu, Zhao, Yue, Wang, Minghao, Yang, Kai, Ge, Yinbo, Wang, Ke, Lin, Hongjian, Pan, Pengyu, Hu, Haitao, He, Zhengyou, Xu, Zhao. Multi-timescale Reward-based DRL Energy Management for Regenerative Braking Energy Storage System[J]. IEEE Transactions on Transportation Electrification, 2025.
Authors:  Chen, Junyu;  Zhao, Yue;  Wang, Minghao;  Yang, Kai;  Ge, Yinbo; et al.
Favorite | TC[Scopus]:0  IF:7.2/7.9 | Submit date：2025/01/22
Deep Reinforcement Learning  Energy Management  Energy Storage System  Railway Power System  Regenerative Braking Energy  
Attention-Based Behavioral Cloning for algorithmic trading Journal article
Sun, Qizhou, Xie, Yufan, Si, Yain Whar. Attention-Based Behavioral Cloning for algorithmic trading[J]. Applied Intelligence, 2025, 55(1), 74.
Authors:  Sun, Qizhou;  Xie, Yufan;  Si, Yain Whar
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.9 | Submit date：2025/01/22
Attention Mechanism  Behavior Cloning  Reinforcement Learning  Algorithmic Trading  
Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning Journal article
Peipei Yu, Hongcai Zhang, Zechun Hu, Yonghua Song. Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning[J]. Applied Energy, 2025, 377(B), 124415.
Authors:  Peipei Yu;  Hongcai Zhang;  Zechun Hu;  Yonghua Song
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:10.1/10.4 | Submit date：2024/10/17
Voltage Control  District Cooling System  Transient Stability  Deep Reinforcement Learning  Renewable Energy  Distributed Network  Power Quality Improvement  
A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming Journal article
Bi Suzhi, Chen Haoguo, Li Xian, Wang Shuoyao, Wu Yuan, Qian Liping. A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming[J]. IEEE Transactions on Mobile Computing, 2024, 23(12), 14313-14329.
Authors:  Bi Suzhi;  Chen Haoguo;  Li Xian;  Wang Shuoyao;  Wu Yuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:7.7/6.5 | Submit date：2024/08/26
Adaptive Streaming  Multi-access Edge Computing (Mec)  Quality Of Experience (Qoe)  Deep Reinforcement Learning  
City metro network expansion based on multi-objective reinforcement learning Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:  Zhang, Liqing;  U, Leong Hou;  Ni, Shaoquan;  Chen, Dingjun;  Li, Zhenning; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2024/11/05
Actor-critic Network  Metro Expansion  Reinforcement Learning  
Trajectory Progress-Based Prioritizing and Intrinsic Reward Mechanism for Robust Training of Robotic Manipulations Journal article
Liang, Weixiang, Liu, Yinlong, Wang, Jikun, Yang, Zhi Xin. Trajectory Progress-Based Prioritizing and Intrinsic Reward Mechanism for Robust Training of Robotic Manipulations[J]. IEEE Transactions on Automation Science and Engineering, 2024.
Authors:  Liang, Weixiang;  Liu, Yinlong;  Wang, Jikun;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.9/6.0 | Submit date：2024/12/26
Hindsight Experience Replay  Progress Intrinsic Motivation  Deep Reinforcement Learning  Robotic Manipulations  
Team-wise effective communication in multi-agent reinforcement learning Journal article
Yang, Ming, Zhao, Kaiyan, Wang, Yiming, Dong, Renzhi, Du, Yali, Liu, Furui, Zhou, Mingliang, U, Leong Hou. Team-wise effective communication in multi-agent reinforcement learning[J]. Autonomous Agents and Multi-Agent Systems, 2024, 38(2), 36.
Authors:  Yang, Ming;  Zhao, Kaiyan;  Wang, Yiming;  Dong, Renzhi;  Du, Yali; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:2.0/2.1 | Submit date：2024/08/05
Reinforcement Learning  Multi-agent System  Communication  Cooperation  Competition  
A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing Journal article
Wei, Xinliang, Gao, Xitong, Ye, Kejiang, Xu, Cheng Zhong, Wang, Yu. A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing[J]. IEEE Transactions on Mobile Computing, 2024.
Authors:  Wei, Xinliang;  Gao, Xitong;  Ye, Kejiang;  Xu, Cheng Zhong;  Wang, Yu
Favorite | TC[Scopus]:0  IF:7.7/6.5 | Submit date：2024/12/26
Hybrid Quantum Model  Mobile Edge Computing  Quantum Reinforcement Learning  Resource Allocation  Task Offloading