
The author proposes a method to stabilize policy gradients for stochastic differential equations by ensuring consistency with perturbation processes, addressing challenges in training SDEs effectively and efficiently.


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stabilizing-policy-gradients-for-stochastic-differential-equations-via-consistency-with-perturbation-process


Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process


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Optimizing policy gradients for SDEs through consistency with perturbation process enhances stability and efficiency in training.
