
An iterative learning algorithm is presented for continuous-time linear-quadratic optimal control problems with unknown dynamics, globally convergent to the optimal solution, unbiased under noisy measurements, and computationally efficient.


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optimal-control-of-continuous-time-symmetric-systems-with-unknown-dynamics-and-noisy-measurements


Optimal Control of Continuous-Time Symmetric Systems with Unknown Dynamics and Noisy Measurements
