Baddam, Vasanth Reddy2023-07-282023-07-282023http://hdl.handle.net/10919/115915We solve the problem of two-point boundary optimal control of linear time-varying systems with unknown model dynamics using reinforcement learning. Leveraging singular perturbation theory techniques, we transform the time-varying optimal control problem into two time-invariant subproblems. This allows the utilization of an off-policy iteration method to learn the controller gains. We show that the performance of the learning-based controller approximates that of the model-based optimal controller and the approximation accuracy improves as the control problem’s time horizon increases. We also provide a simulation example to verify the resultsETDapplication/pdfenCreative Commons Attribution 4.0 Internationaloptimal controlsingular perturbationreinforcement learningThesis