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Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control

IEEE transactions on cybernetics, 2022-10, Vol.52 (10), p.10570-10581

2022

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

Nonlinear dynamics, 2022-02, Vol.107 (3), p.2563-2582

2022

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Heterogeneous multi-player imitation learning

Control theory and technology, 2023-08, Vol.21 (3), p.281-291

2023

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Inverse reinforcement learning for multi-player noncooperative apprentice games

Automatica (Oxford), 2022-11, Vol.145, p.110524, Article 110524

2022

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Integrated Sliding Mode Control and Neural Networks Based Packet Disordering Prediction for Nonlinear Networked Control Systems

IEEE transaction on neural networks and learning systems, 2019-08, Vol.30 (8), p.2324-2335

2019

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Dynamic Self‐Triggered Parallel Control of Guidance Intercept Systems With Constrained Inputs via Adaptive Dynamic Programming

International journal of robust and nonlinear control, 2024-10

2024

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Reinforcement Learning-Based \mathcal Control of 2-D Markov Jump Roesser Systems With Optimal Disturbance Attenuation

IEEE transaction on neural networks and learning systems, 2024-11, p.1-14

2024

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Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems

IEEE transaction on neural networks and learning systems, 2023-05, Vol.34 (5), p.2386-2399

2023

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Inverse Reinforcement Learning for Adversarial Apprentice Games

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.4596-4609

2023

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Data-Driven Inverse Reinforcement Learning Control for Linear Multiplayer Games

IEEE transaction on neural networks and learning systems, 2024-02, Vol.35 (2), p.2028-2041

2024

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

Automatica (Oxford), 2023-09, Vol.155, p.111171, Article 111171

2023

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Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments

IEEE transactions on cybernetics, 2022-12, Vol.52 (12), p.13083-13095

2022

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Data-Driven Weighted \mathcal Control of Persistent Dwell Time Switched Systems With Optimal Disturbance Attenuation Guaranteed

IEEE transactions on automation science and engineering, 2024-10, p.1-12

2024

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Online inverse reinforcement learning for nonlinear systems with adversarial attacks

International journal of robust and nonlinear control, 2021-09, Vol.31 (14), p.6646-6667

2021

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Inverse Value Iteration and Q -Learning: Algorithms, Stability, and Robustness

IEEE transaction on neural networks and learning systems, 2024-06, Vol.PP, p.1-11

2024

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Distributed Kalman Consensus Filter for Estimation With Moving Targets

IEEE transactions on cybernetics, 2022-06, Vol.52 (6), p.5242-5254

2022

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Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms

IEEE transaction on neural networks and learning systems, 2024-03, Vol.35 (3), p.1-13

2024

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Sliding mode control and sampling rate strategy for Networked control systems with packet disordering via Markov chain prediction

ISA transactions, 2018-12, Vol.83, p.1-12

2018

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Distributed Dynamic Clustering and Consensus in Multiagent Systems

IEEE transactions on automatic control, 2024-09, Vol.69 (9), p.6474-6481

2024

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Sliding mode control for non-linear networked control systems subject to packet disordering via prediction method

IET control theory & applications, 2017-11, Vol.11 (17), p.3079-3088

2017

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Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control

IEEE transactions on cybernetics, 2024-03, Vol.54 (3), p.1695-1707

2024

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Nash-Minmax Strategy for Multiplayer Multiagent Graphical Games with Reinforcement Learning

IEEE transactions on control of network systems, 2024-06, p.1-12

2024

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Model-Free Inverse H-Infinity Control for Imitation Learning

IEEE transactions on automation science and engineering, 2024-07, p.1-12

2024

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Data-Efficient Reinforcement Learning for Complex Nonlinear Systems

IEEE transactions on cybernetics, 2024-03, Vol.54 (3), p.1391-1402

2024

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Inverse Q -Learning Using Input-Output Data

IEEE transactions on cybernetics, 2024-02, Vol.PP (2), p.1-11

2024

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Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control

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

Heterogeneous multi-player imitation learning

Inverse reinforcement learning for multi-player noncooperative apprentice games

Integrated Sliding Mode Control and Neural Networks Based Packet Disordering Prediction for Nonlinear Networked Control Systems

Dynamic Self‐Triggered Parallel Control of Guidance Intercept Systems With Constrained Inputs via Adaptive Dynamic Programming

Reinforcement Learning-Based \mathcal Control of 2-D Markov Jump Roesser Systems With Optimal Disturbance Attenuation

Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems

Inverse Reinforcement Learning for Adversarial Apprentice Games

Data-Driven Inverse Reinforcement Learning Control for Linear Multiplayer Games

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

Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments

Data-Driven Weighted \mathcal Control of Persistent Dwell Time Switched Systems With Optimal Disturbance Attenuation Guaranteed

Online inverse reinforcement learning for nonlinear systems with adversarial attacks

Inverse Value Iteration and Q -Learning: Algorithms, Stability, and Robustness

Distributed Kalman Consensus Filter for Estimation With Moving Targets

Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms

Sliding mode control and sampling rate strategy for Networked control systems with packet disordering via Markov chain prediction

Distributed Dynamic Clustering and Consensus in Multiagent Systems

Sliding mode control for non-linear networked control systems subject to packet disordering via prediction method

Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control

Nash-Minmax Strategy for Multiplayer Multiagent Graphical Games with Reinforcement Learning

Model-Free Inverse H-Infinity Control for Imitation Learning

Data-Efficient Reinforcement Learning for Complex Nonlinear Systems

Inverse Q -Learning Using Input-Output Data

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