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

A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties. - S. M. Nahid Mahmud; Katrine Hareland; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (ACC, 2021)

Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. - S. M. Nahid Mahmud; Moad Abudia; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (CoRR, 2021)

Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties. - S. M. Nahid Mahmud; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (Frontiers Robotics AI, 2021)

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

Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning. - S. M. Nahid Mahmud; Moad Abudia; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (CoRR, 2022)

Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. - Tochukwu Elijah Ogri; S. M. Nahid Mahmud; Zachary I. Bell; Rushikesh Kamalapurkar (CCTA, 2023)