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Inverse Problems for Costs and Controls in LQG MFGs via Mean Field Trajectories
This paper investigates inverse problems for Linear-Quadratic-Gaussian (LQG) Mean Field Games (MFGs) based entirely on the observation of mean-covariance trajectories. We address three sequential challenges: identifying the optimal control for observed initializations, determining the control for ar
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