Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...
Abstract: Recent advances in deep reinforcement learning (DRL) have expanded its use in various automation sectors, including the nuclear industry. While DRL shows promise for optimizing radiation ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results