Temporal Difference Learning for High-Dimensional PIDEs with Jumps

6 July 2023

Papers citing "Temporal Difference Learning for High-Dimensional PIDEs with Jumps"

6 / 6 papers shown

Title
FBSJNN: A Theoretically Interpretable and Efficiently Deep Learning method for Solving Partial Integro-Differential Equations Zaijun Ye Wansheng Wang 70 0 0 15 Dec 2024
Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method Gareth Hardwick Senwei Liang Haizhao Yang 18 1 0 01 Oct 2024
An Extreme Learning Machine-Based Method for Computational PDEs in Higher Dimensions Yiran Wang Suchuan Dong 20 35 0 13 Sep 2023
Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics R. Frey Verena Köck 28 16 0 23 Sep 2021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Benjamin Moseley Andrew Markham T. Nissen‐Meyer PINN 40 207 0 16 Jul 2021
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 117 506 0 11 Mar 2020