Hidden Star-Convexity in Policy Optimization for Gain-Scheduled LQR: Extended Version
We study policy optimization for gain-scheduled linear quadratic regulation, where one schedule of gains, interpolated through fixed weighting functions, is optimized against a family of plants. The resulting cost can develop spurious local minima, and existing convergence certificates are either local or severely cons...