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most citedRelative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis

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math.OC2026

On the invariance of risk-sensitive LQR gain under input randomization

Yeongjun Jang

This paper shows that the optimal gain of the risk-sensitive linear quadratic regulator (LQR) problem is invariant under input randomization, i.e., when the controller deliberately…