Non-normal transient amplification is an important contributor to closed-loop variance in RL, and input-side suppression can reduce downstream covariance without altering peak gain.
Gradient- based regularization for action smoothness in robotic control with reinforcement learning
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Input-Side Variance Suppression under Non-Normal Transient Amplification in Continuous-Control Reinforcement Learning
Non-normal transient amplification is an important contributor to closed-loop variance in RL, and input-side suppression can reduce downstream covariance without altering peak gain.