Jihao Long
Jihao Long
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Convergence of the deep BSDE method for coupled FBSDEs
J Han, J Long
Probability, Uncertainty and Quantitative Risk 5 (1), 5, 2020
Convergence of deep fictitious play for stochastic differential games
J Han, R Hu, J Long
arXiv preprint arXiv:2008.05519, 2020
An Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation
J Long, J Han
arXiv preprint arXiv:2104.07794, 2021
Learning high-dimensional McKean–Vlasov forward-backward stochastic differential equations with general distribution dependence
J Han, R Hu, J Long
SIAM Journal on Numerical Analysis 62 (1), 1-24, 2024
Perturbational complexity by distribution mismatch: A systematic analysis of reinforcement learning in reproducing kernel hilbert space
J Long, J Han
arXiv preprint arXiv:2111.03469, 2021
A class of dimensionality-free metrics for the convergence of empirical measures
J Han, R Hu, J Long
arXiv preprint arXiv:2104.12036 196, 2021
A spectral-based analysis of the separation between two-layer neural networks and linear methods
L Wu, J Long
Journal of Machine Learning Research 23 (119), 1-34, 2022
A class of dimension-free metrics for the convergence of empirical measures
J Han, R Hu, J Long
Stochastic Processes and their Applications 164, 242-287, 2023
Reinforcement learning with function approximation: From linear to nonlinear
J Long, J Han
arXiv preprint arXiv:2302.09703, 2023
A machine learning enhanced algorithm for the optimal landing problem
Y Zang, J Long, X Zhang, W Hu, E Weinan, J Han
Mathematical and Scientific Machine Learning, 319-334, 2022
Empowering optimal control with machine learning: A perspective from model predictive control
E Weinan, J Han, J Long
IFAC-PapersOnLine 55 (30), 121-126, 2022
Initial value problem enhanced sampling for closed-loop optimal control design with deep neural networks
X Zhang, J Long, W Hu, J Han
arXiv preprint arXiv:2209.04078, 2022
Solving optimal control of rigid-body dynamics with collisions using the hybrid minimum principle
W Hu, J Long, Y Zang, J Han
arXiv preprint arXiv:2205.08622, 2022
Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay
J Long, L Wu
arXiv e-prints, arXiv: 2108.04964, 2021
A Duality Analysis of Kernel Ridge Regression in the Noiseless Regime
J Long, X Peng, L Wu
arXiv preprint arXiv:2402.15718, 2024
Learning Free Terminal Time Optimal Closed-loop Control of Manipulators
W Hu, Y Zhao, J Han, J Long
arXiv preprint arXiv:2311.17749, 2023
The Learnability of Reproducing Kernel Hilbert Spaces
H Chen, J Long, L Wu
arXiv preprint arXiv:2306.02833, 2023
A duality framework for generalization analysis of random feature models and two-layer neural networks
H Chen, J Long, L Wu
arXiv preprint arXiv:2305.05642, 2023
High-Dimensional Reinforcement Learning and Optimal Control Problems
J Long
Princeton University, 2023
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