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20122023
most citedLearning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks

1 citations · 1 across the 8 of their papers we have counts for

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math.OC2023

Deep Reinforcement Learning in Finite-Horizon to Explore the Most Probable Transition Pathway

Jin Guo, Ting Gao, Peng Zhang +2

In many scientific and engineering problems, noise and nonlinearity are unavoidable, which could induce interesting mathematical problem such as transition phenomena. This paper fo…

math.OC2023

Detecting the Most Probable High Dimensional Transition Pathway Based on Optimal Control Theory

Jianyu Chen, Ting Gao, Yang Li +1

Many natural systems exhibit phase transition where external environmental conditions spark a shift to a new and sometimes quite different state. Therefore, detecting the behavior…