Wenqian Xue

About Wenqian Xue

Wenqian Xue, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Northeastern University, China, specializes in the field of Control theory, reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributed Dynamic Clustering and Consensus in Multi-Agent Systems

Inverse Reinforcement Learning for Multiplayer Non-Zero-Sum Games

Inverse Reinforcement Learning for Optimal Control Systems

Background on Integral and Inverse Reinforcement Learning for Feedback Control

Integral Reinforcement Learning for Optimal Regulation

Integral Reinforcement Learning for Zero-Sum Games

Integral Reinforcement Learning for Optimal Tracking

Inverse -Learning Using Input–Output Data

Wenqian Xue Information

University

Position

___

Citations(all)

307

Citations(since 2020)

305

Cited By

14

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Wenqian Xue Skills & Research Interests

Control theory

reinforcement learning

Top articles of Wenqian Xue

Distributed Dynamic Clustering and Consensus in Multi-Agent Systems

IEEE Transactions on Automatic Control

2024/4/4

Ahmet Taha Koru
Ahmet Taha Koru

H-Index: 5

Wenqian Xue
Wenqian Xue

H-Index: 2

Inverse Reinforcement Learning for Multiplayer Non-Zero-Sum Games

2024/3/6

Inverse Reinforcement Learning for Optimal Control Systems

2024/3/6

Background on Integral and Inverse Reinforcement Learning for Feedback Control

2024/3/6

Integral Reinforcement Learning for Optimal Regulation

2024/3/6

Integral Reinforcement Learning for Zero-Sum Games

2024/3/6

Integral Reinforcement Learning for Optimal Tracking

2024/3/6

Inverse -Learning Using Input–Output Data

IEEE Transactions on Cybernetics

2023/12/22

Wenqian Xue
Wenqian Xue

H-Index: 2

Provable Reinforcement Learning for Networked Control Systems with Stochastic Packet Disordering

arXiv preprint arXiv:2312.02498

2023/12/5

Wenqian Xue
Wenqian Xue

H-Index: 2

Yi Jiang
Yi Jiang

H-Index: 19

Off-policy inverse Q-learning for discrete-time antagonistic unknown systems

Automatica

2023/9/1

Wenqian Xue
Wenqian Xue

H-Index: 2

Yijing Xie
Yijing Xie

H-Index: 7

Heterogeneous multi-player imitation learning

Control Theory and Technology

2023/8

Wenqian Xue
Wenqian Xue

H-Index: 2

Inverse reinforcement learning for trajectory imitation using static output feedback control

IEEE Transactions on Cybernetics

2023/2/16

Wenqian Xue
Wenqian Xue

H-Index: 2

Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games

arXiv preprint arXiv:2301.01997

2023/1/5

Wenqian Xue
Wenqian Xue

H-Index: 2

A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system

Nonlinear Dynamics

2022/1

Inverse reinforcement learning for multi-player noncooperative apprentice games

Automatica

2022/11/1

Wenqian Xue
Wenqian Xue

H-Index: 2

Distributed minmax strategy for multiplayer games: Stability, robustness, and algorithms

IEEE Transactions on Neural Networks and Learning Systems

2022/10/31

Wenqian Xue
Wenqian Xue

H-Index: 2

New Solution for H-Infinity Static Output-Feedback Control Using Integral Reinforcement Learning

Available at SSRN 4221689

2022/9

Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems

International Journal of Robust and Nonlinear Control

2022/1/10

Inverse reinforcement learning for multi-player apprentice games in continuous-time nonlinear systems

2021/12/14

Wenqian Xue
Wenqian Xue

H-Index: 2

Data-Driven H∞ Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning

IEEE Transactions on Neural Networks and Learning Systems

2021/10/18

Li Zhang
Li Zhang

H-Index: 7

Wenqian Xue
Wenqian Xue

H-Index: 2

See List of Professors in Wenqian Xue University(Northeastern University, China)

Co-Authors

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