Zejian Zhou
Orcid: 0000-0002-0252-6765
According to our database1,
Zejian Zhou
authored at least 19 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
MateJam: Multi-Material Teeth-Clutching Layer Jamming Actuation for Soft Haptic Glove.
IEEE Trans. Haptics, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems.
IEEE Trans. Cybern., 2022
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning.
Neurocomputing, 2022
2021
Large-scale Multi-agent Decision-making Using Mean Field Game Theory and Reinforcement Learning.
PhD thesis, 2021
Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game.
IEEE Trans. Neural Networks Learn. Syst., 2021
Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices.
Trans. Inst. Meas. Control, 2021
A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements.
IEEE Trans. Instrum. Meas., 2021
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games.
Proceedings of the International Joint Conference on Neural Networks, 2021
Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
2020
Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment.
Proceedings of the 2020 American Control Conference, 2020
2019
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory.
Proceedings of the 2019 IEEE Military Communications Conference, 2019
Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018