Model-based reinforcement learning for output-feedback optimal control of a class of nonlinear systems. - Ryan Self; Michael Harlan; Rushikesh Kamalapurkar (ACC, 2019)

Online inverse reinforcement learning for nonlinear systems. - Ryan Self; Michael Harlan; Rushikesh Kamalapurkar (CCTA, 2019)

Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation. - Sandesh Thapa; Ryan V. Self; Rushikesh Kamalapurkar; He Bai 001 (IEEE Control. Syst. Lett., 2019)

Online inverse reinforcement learning for systems with disturbances. - Ryan Self; Moad Abudia; Rushikesh Kamalapurkar (ACC, 2020)

Switched Optimal Control and Dwell Time Constraints: A Preliminary Study. - Moad Abudia; Michael Harlan; Ryan Self; Rushikesh Kamalapurkar (CDC, 2020)

Online inverse reinforcement learning with limited data. - Ryan Self; S. M. Nahid Mahmud; Katrine Hareland; Rushikesh Kamalapurkar (CDC, 2020)

Online inverse reinforcement learning with unknown disturbances. - Ryan Self; Moad Abudia; Rushikesh Kamalapurkar (CoRR, 2020)

A safety aware model based reinforcement learning framework for systems with uncertainties. - S. M. Nahid Mahmud; Ryan Self; Katrine Hareland; Rushikesh Kamalapurkar (CoRR, 2020)

Online Observer-Based Inverse Reinforcement Learning. - Ryan Self; Kevin Coleman; He Bai 001; Rushikesh Kamalapurkar (IEEE Control. Syst. Lett., 2021)

Model-based inverse reinforcement learning for deterministic systems. - Ryan Self; Moad Abudia; S. M. Nahid Mahmud; Rushikesh Kamalapurkar (Autom., 2022)