The authors adapt closed-loop and IRL parameterizations to continuous time, deriving policy iteration schemes, a data-driven CARE, convex reformulations, and a policy gradient flow while unifying the two approaches.
Q-Learning for Continuous-Time Linear Systems: A Data-Driven Implementation of the Kleinman Algorithm
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Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations
The authors adapt closed-loop and IRL parameterizations to continuous time, deriving policy iteration schemes, a data-driven CARE, convex reformulations, and a policy gradient flow while unifying the two approaches.