33 citations · 67 across the 4 of their papers we have counts for
6 papers
Switched Optimal Control and Dwell Time Constraints: A Preliminary Study
Moad Abudia, Michael Harlan, Ryan Self +1
Most modern control systems are switched, meaning they have continuous as well as discrete decision variables. Switched systems often have constraints called dwell-time constraints…
Online Observer-Based Inverse Reinforcement Learning
Ryan Self, Kevin Coleman, He Bai +1
In this paper, a novel approach to the output-feedback inverse reinforcement learning (IRL) problem is developed by casting the IRL problem, for linear systems with quadratic cost…
Online inverse reinforcement learning with limited data
Ryan Self, S M Nahid Mahmud, Katrine Hareland +1
This paper addresses the problem of online inverse reinforcement learning for systems with limited data and uncertain dynamics. In the developed approach, the state and control tra…
Online inverse reinforcement learning with unknown disturbances
Ryan Self, Moad Abudia, Rushikesh Kamalapurkar
This paper addresses the problem of online inverse reinforcement learning for nonlinear systems with modeling uncertainties while in the presence of unknown disturbances. The devel…
Output-feedback online optimal control for a class of nonlinear systems
Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
In this paper an output-feedback model-based reinforcement learning (MBRL) method for a class of second-order nonlinear systems is developed. The control technique uses exact model…
Online inverse reinforcement learning for nonlinear systems
Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
This paper focuses on the development of an online inverse reinforcement learning (IRL) technique for a class of nonlinear systems. The developed approach utilizes observed state a…