Abstract: For any given target trajectory, asymptotic tracking error convergence can be achieved as the number of iterations tends to infinity by applying existing ...
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 ...
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