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ORCIDZejian Zhou
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2020 – today
- 2024
[c12]Zejian Zhou, Lijun Qian, Hao Xu:
Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games. ICCCN 2024: 1-6- 2023
- [j7]Ziqi Wang
, Xiangjie Zhou, Zejian Zhou, Yan Zhang, Yuru Zhang, Dangxiao Wang:
MateJam: Multi-Material Teeth-Clutching Layer Jamming Actuation for Soft Haptic Glove. IEEE Trans. Haptics 16(2): 276-286 (2023) - 2022
- [j6]Zejian Zhou, Hao Xu:
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning. Neurocomputing 484: 46-58 (2022) - [j5]Zejian Zhou, Hao Xu:
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems. IEEE Trans. Cybern. 52(6): 5197-5208 (2022) - [j4]Zejian Zhou, Hao Xu:
Large-Scale Multiagent System Tracking Control Using Mean Field Games. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5602-5610 (2022) - 2021
- [b1]Zejian Zhou:
Large-scale Multi-agent Decision-making Using Mean Field Game Theory and Reinforcement Learning. University of Nevada, Reno, USA, 2021 - [j3]Zejian Zhou, Yingmeng Xiang, Hao Xu, Zhehan Yi, Di Shi, Zhiwei Wang:
A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j2]Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang, Di Shi, Zhiwei Wang:
Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. Trans. Inst. Meas. Control 43(3): 635-645 (2021) - [j1]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5654-5663 (2021) - [c11]Zejian Zhou, Hao Xu:
Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent. CCTA 2021: 97-102 - [c10]Zejian Zhou, Hao Xu:
Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach. CCTA 2021: 111-116 - [c9]Zejian Zhou, Yuzhu Zhang, Hao Xu:
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. IJCNN 2021: 1-6 - 2020
- [c8]Zejian Zhou, Hao Xu:
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. ACC 2020: 5382-5387 - [c7]Zejian Zhou, Hao Xu:
Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint. ICCA 2020: 336-341 - [i1]Zejian Zhou, Hao Xu:
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. CoRR abs/2008.02940 (2020)
2010 – 2019
- 2019
- [c6]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks. CDC 2019: 1225-1230 - [c5]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm. CDC 2019: 1231-1236 - [c4]Zejian Zhou, Lijun Qian, Hao Xu:
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. MILCOM 2019: 604-609 - [c3]Zejian Zhou, Hao Xu:
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. SSCI 2019: 1-8 - [c2]Zejian Zhou, Hao Xu:
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. SSCI 2019: 9-15 - 2018
- [c1]Zejian Zhou, Hao Xu:
Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment. SSCI 2018: 1453-1460
Coauthor Index
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