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Training Dynamics and Induced Preconditioning of ReLU Policy Gradient for Scalar LQR
Policy gradient is not invariant to reparameterization; the training dynamics of the weights of a neural controller differ from those of the induced gains. We make that difference exact for deterministic scalar discounted linear-quadratic regulation with bias-free one-hidden-layer ReLU policies. We
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