Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach J Han, J Lu, M Zhou Journal of Computational Physics 423, 109792, 2020 | 79 | 2020 |
Actor-Critic Method for High Dimensional Static Hamilton--Jacobi--Bellman Partial Differential Equations based on Neural Networks M Zhou, J Han, J Lu SIAM Journal on Scientific Computing 43, A4043–A4066, 2021 | 35 | 2021 |
Single timescale actor-critic method to solve the linear quadratic regulator with convergence guarantees M Zhou, J Lu Journal of Machine Learning Research 24 (222), 1-34, 2023 | 11 | 2023 |
A neural network warm-start approach for the inverse acoustic obstacle scattering problem M Zhou, J Han, M Rachh, C Borges Journal of Computational Physics 490, 112341, 2023 | 4 | 2023 |
Spectral response feature bands extracted from near standard soil samples for estimating soil Pb in a mining area M Zhou, B Zou, Y Tu, H Feng, C He, X Ma, J Ning Geocarto International 37 (26), 13248-13267, 2022 | 4 | 2022 |
A policy gradient framework for stochastic optimal control problems with global convergence guarantee M Zhou, J Lu arXiv preprint arXiv:2302.05816, 2023 | 3 | 2023 |
Solving Time-Continuous Stochastic Optimal Control Problems: Algorithm Design and Convergence Analysis of Actor-Critic Flow M Zhou, J Lu arXiv preprint arXiv:2402.17208, 2024 | 1 | 2024 |
A deep learning algorithm for computing mean field control problems via forward-backward score dynamics M Zhou, S Osher, W Li arXiv preprint arXiv:2401.09547, 2024 | 1 | 2024 |
Deep Learning Method for Partial Differential Equations and Optimal Problems M Zhou Duke University, 2023 | | 2023 |