Deep reinforcement learning in finite-horizon to explore the most probable transition pathway
In many scientific and engineering problems, noise and nonlinearity are unavoidable, which
could induce interesting mathematical problem such as transition phenomena. This paper …
could induce interesting mathematical problem such as transition phenomena. This paper …
The Onsager-Machlup action functional for degenerate McKean-Vlasov Stochastic Differential Equations
S Liu, H Gao - arXiv preprint arXiv:2312.03472, 2023 - arxiv.org
The purpose of this paper is to investigate the existence of the Onsager-Machlup action
functional for degenerate McKean-Vlasov stochastic differential equations. To this end, we …
functional for degenerate McKean-Vlasov stochastic differential equations. To this end, we …
[引用][C] Stochastic dynamics and data science
Recent advances in data science are opening up new research fields and broadening the
range of applications of stochastic dynamical systems. Considering the complexities in real …
range of applications of stochastic dynamical systems. Considering the complexities in real …