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

Xiangxin Zhou; Liang Wang; Yichi Zhou

2024 ICML ICML 2024

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

Abstract

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🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Xiangxin Zhou, Liang Wang, Yichi Zhou

Topics

Machine Learning > Optimization & Theory > Optimization Deep Learning > Models > Generative Models Reinforcement Learning > Methods > Policy Learning

Keywords

policy gradient generative model stochastic differential equation structure-based drug design binding affinity perturbation process

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