Local Policy Optimization for Trajectory-Centric Reinforcement Learning. - Patrik Kolaric; Devesh K. Jha; Arvind U. Raghunathan; Frank L. Lewis; Mouhacine Benosman; Diego Romeres; Daniel Nikovski (ICRA, 2020)

Optimal dynamic Control Allocation with guaranteed constraints and online Reinforcement Learning. - Patrik Kolaric; Victor G. Lopez; Frank L. Lewis (Autom., 2020)

Quantization-Mitigation-Based Trajectory Control for Euler-Lagrange Systems with Unknown Actuator Dynamics. - Yi Lyu; Qiyu Yang; Patrik Kolaric (Sensors, 2020)

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)

A Practical MPC Method for Autonomous Driving Longitudinal Dynamic Control's Real-World Challenges. - Junbo Jing; Jingxuan Liu; Chunan Huang; Patrik Kolaric; Shen Qu; Lei Wang (ITSC, 2023)

Gaussian Process Model of Uncertainty in Safety-Critical Autonomous Driving. - Patrik Kolaric; Junbo Jing; Chunan Huang; Shen Qu; Jingxuan Liu; Yufei Zhao; Lei Wang (ITSC, 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)

Adaptive Distributed Synchronization of Multiple Vehicles With Actuator Nonlinearities: Design and Experimentation. - Qiyu Yang; Patrik Kolaric; Ci Chen; Kan Xie; Frank L. Lewis; Shengli Xie (IEEE Trans. Ind. Electron., 2023)

Framework and experiment for a constraints-defined longitudinal dynamics control for autonomous driving in traffic. - Chunan Huang; Junbo Jing; Patrik Kolaric; Jingxuan Liu; Shen Qu; Yufei Zhao; Lei Wang (CCTA, 2024)