A convex data-driven formulation yields the optimal LQI feedback gain for continuous-time systems directly from measured data without system matrices.
An Efficient Off-Policy Reinforcement Learning Algorithm for the Continuous-Time LQR Problem,
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Data-driven Linear Quadratic Integral Control: A Convex Formulation and Policy Gradient Approach
A convex data-driven formulation yields the optimal LQI feedback gain for continuous-time systems directly from measured data without system matrices.