Zejian Zhou

Orcid: 0000-0002-0252-6765

According to our database1, Zejian Zhou authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Decentralized Multi-agent Reinforcement Learning for Large-scale Mobile Wireless Sensor Network Control Using Mean Field Games.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023
MateJam: Multi-Material Teeth-Clutching Layer Jamming Actuation for Soft Haptic Glove.
IEEE Trans. Haptics, 2023

2022
Large-Scale Multiagent System Tracking Control Using Mean Field Games.
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


  Loading...