Distributed Consensus-based Kalman Filtering for Estimation with Multiple Moving Targets. - Bosen Lian; Yan Wan 001; Ya Zhang 001; Mushuang Liu; Frank L. Lewis; Alexandra Abad; Tina Setter; Dunham Short; Tianyou Chai (CDC, 2019)

Integrated Sliding Mode Control and Neural Networks Based Packet Disordering Prediction for Nonlinear Networked Control Systems. - Bosen Lian; Qingling Zhang 001; Jinna Li (IEEE Trans. Neural Networks Learn. Syst., 2019)

Inverse Reinforcement Learning for Multi-player Apprentice Games in Continuous-Time Nonlinear Systems. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai; Ali Davoudi (CDC, 2021)

Inverse Reinforcement Learning Control for Linear Multiplayer Games. - Bosen Lian; Vrushabh S. Donge; Frank L. Lewis; Tianyou Chai; Ali Davoudi (CDC, 2022)

Inverse reinforcement learning for multi-player noncooperative apprentice games. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai (Autom., 2022)

Online Learning of Minmax Solutions for Distributed Estimation and Tracking Control of Sensor Networks in Graphical Games. - Bosen Lian; Frank L. Lewis; Gary A. Hewer; Katia Estabridis; Tianyou Chai (IEEE Trans. Control. Netw. Syst., 2022)

Robustness Analysis of Distributed Kalman Filter for Estimation in Sensor Networks. - Bosen Lian; Frank L. Lewis; Gary A. Hewer; Katia Estabridis; Tianyou Chai (IEEE Trans. Cybern., 2022)

Distributed Kalman Consensus Filter for Estimation With Moving Targets. - Bosen Lian; Yan Wan 001; Ya Zhang 001; Mushuang Liu; Frank L. Lewis; Tianyou Chai (IEEE Trans. Cybern., 2022)

Robust Inverse Q-Learning for Continuous-Time Linear Systems in Adversarial Environments. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai (IEEE Trans. Cybern., 2022)

Inverse Reinforcement Learning in Tracking Control Based on Inverse Optimal Control. - Wenqian Xue; Patrik Kolaric; Jialu Fan; Bosen Lian; Tianyou Chai; Frank L. Lewis (IEEE Trans. Cybern., 2022)

Directed Graph Clustering Algorithms, Topology, and Weak Links. - Xiao Zhang 007; Bosen Lian; Frank L. Lewis; Yan Wan 001; Daizhan Cheng (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games. - Wenqian Xue; Bosen Lian; Jialu Fan; Tianyou Chai; Frank L. Lewis (CoRR, 2023)

Anomaly Detection and Correction of Optimizing Autonomous Systems With Inverse Reinforcement Learning. - Bosen Lian; Yusuf Kartal; Frank L. Lewis; Dariusz G. Mikulski; Gregory R. Hudas; Yan Wan 001; Ali Davoudi (IEEE Trans. Cybern., 2023)

Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems. - Wenqian Xue; Bosen Lian; Jialu Fan; Patrik Kolaric; Tianyou Chai; Frank L. Lewis (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multiagent Graphical Games With Inverse Reinforcement Learning. - Vrushabh S. Donge; Bosen Lian; Frank L. Lewis; Ali Davoudi (IEEE Trans. Control. Netw. Syst., 2023)

Inverse Reinforcement Learning for Adversarial Apprentice Games. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Tianyou Chai (IEEE Trans. Neural Networks Learn. Syst., 2023)

Off-policy inverse Q-learning for discrete-time antagonistic unknown systems. - Bosen Lian; Wenqian Xue; Yijing Xie; Frank L. Lewis; Ali Davoudi (Autom., 2023)

Accelerated Reinforcement Learning via Dynamic Mode Decomposition. - Vrushabh S. Donge; Bosen Lian; Frank L. Lewis; Ali Davoudi (IEEE Trans. Control. Netw. Syst., 2023)

Two-Player Multiagent Graphical Games with Reinforcement Learning*. - Bosen Lian; Jiacheng Wu (ICPS, 2024)

Inverse Q-Learning Using Input-Output Data. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Cybern., 2024)

Data-Driven Inverse Reinforcement Learning Control for Linear Multiplayer Games. - Bosen Lian; Vrushabh S. Donge; Frank L. Lewis; Tianyou Chai; Ali Davoudi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Data-Efficient Reinforcement Learning for Complex Nonlinear Systems. - Vrushabh S. Donge; Bosen Lian; Frank L. Lewis; Ali Davoudi (IEEE Trans. Cybern., 2024)

Inverse Reinforcement Learning for Trajectory Imitation Using Static Output Feedback Control. - Wenqian Xue; Bosen Lian; Jialu Fan; Tianyou Chai; Frank L. Lewis (IEEE Trans. Cybern., 2024)

Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms. - Bosen Lian; Vrushabh S. Donge; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distributed Dynamic Clustering and Consensus in Multiagent Systems. - Bosen Lian; Ahmet Taha Koru; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Autom. Control., 2024)

Distributed Nash Control of Multiplayer Multiagent Differential Games with Reinforcement Learning. - Bosen Lian; Yizhong Zhang; Wenqian Xue; Frank L. Lewis (ACC, 2025)

Robust Inverse Reinforcement Learning Control with Unknown States. - Bosen Lian; Wenqian Xue; Nhan Nguyen (L4DC, 2025)

Certified data-driven inverse reinforcement learning of Markov jump systems. - Wenqian Xue; Frank L. Lewis; Bosen Lian (Autom., 2025)

Data-Driven Optimization-Based Cost and Optimal Control Inference. - Jiacheng Wu; Wenqian Xue; Frank L. Lewis; Bosen Lian (IEEE Control. Syst. Lett., 2025)

Data-Driven Weighted H∞ Control of Persistent Dwell Time Switched Systems With Optimal Disturbance Attenuation Guaranteed. - Jiacheng Wu; Bosen Lian; Hongye Su; Yang Zhu (IEEE Trans Autom. Sci. Eng., 2025)

Model-Free Inverse H-Infinity Control for Imitation Learning. - Wenqian Xue; Bosen Lian; Yusuf Kartal; Jialu Fan; Tianyou Chai; Frank L. Lewis (IEEE Trans Autom. Sci. Eng., 2025)

Efficient Reward Shaping for Multiagent Systems. - Vrushabh S. Donge; Bosen Lian; Frank L. Lewis; Ali Davoudi (IEEE Trans. Control. Netw. Syst., 2025)

Nash-Minmax Strategy for Multiplayer Multiagent Graphical Games With Reinforcement Learning. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Control. Netw. Syst., 2025)

Distributed Global Nash Equilibrium of Interactive Adversarial Graphical Games. - Yizhong Zhang; Bosen Lian; Frank L. Lewis (J. Syst. Sci. Complex., 2025)

Inverse Reinforcement Learning for Discrete-Time Systems With Data Dropouts. - Jialu Fan; Pengfei Shi; Wenqian Xue; Bosen Lian; Yunfang Cui; Frank L. Lewis (IEEE Trans. Cybern., 2025)

Inverse Value Iteration and Q-Learning: Algorithms, Stability, and Robustness. - Bosen Lian; Wenqian Xue; Frank L. Lewis; Ali Davoudi (IEEE Trans. Neural Networks Learn. Syst., 2025)

Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets. - Amir Modares; Bosen Lian; Hamidreza Modares (CoRR, 2025)

Reinforcement Learning-Based H∞ Control of 2-D Markov Jump Roesser Systems With Optimal Disturbance Attenuation. - Jiacheng Wu; Bosen Lian; Hongye Su; Yang Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)