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Structure and Conditioning in Finite-Horizon Continuous-Time Inverse LQR with Unknown Dynamics
Inverse Optimal Control (IOC) aims to infer the underlying cost functional of an agent from observations of its expert behavior. This paper studies the finite-horizon continuous-time inverse LQR problem from closed-loop state--input trajectories, where both the system matrices and the quadratic cost
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