Jiequn Han

Jiequn Han

Princeton University

H-index: 24

North America-United States

About Jiequn Han

Jiequn Han, With an exceptional h-index of 24 and a recent h-index of 24 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Applied Mathematics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Offline supervised learning vs online direct policy optimization: A comparative study and a unified training paradigm for neural network-based optimal feedback control

Optimal Taxation with Incomplete Markets–an Exploration via Reinforcement Learning

Learning high-dimensional McKean–Vlasov forward-backward stochastic differential equations with general distribution dependence

Deep reinforcement learning in finite-horizon to explore the most probable transition pathway

A neural network warm-start approach for the inverse acoustic obstacle scattering problem

An equivariant neural operator for developing nonlocal tensorial constitutive models

DeePMD-kit v2: A software package for deep potential models

Improving gradient computation for differentiable physics simulation with contacts

Jiequn Han Information

University

Position

___

Citations(all)

7291

Citations(since 2020)

6959

Cited By

2161

hIndex(all)

24

hIndex(since 2020)

24

i10Index(all)

37

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Jiequn Han Skills & Research Interests

Applied Mathematics

Machine Learning

Top articles of Jiequn Han

Offline supervised learning vs online direct policy optimization: A comparative study and a unified training paradigm for neural network-based optimal feedback control

Physica D: Nonlinear Phenomena

2024/6/1

Yue Zhao
Yue Zhao

H-Index: 3

Jiequn Han
Jiequn Han

H-Index: 14

Optimal Taxation with Incomplete Markets–an Exploration via Reinforcement Learning

Available at SSRN 4758552

2024/3/5

Learning high-dimensional McKean–Vlasov forward-backward stochastic differential equations with general distribution dependence

SIAM Journal on Numerical Analysis

2024/2/29

Jiequn Han
Jiequn Han

H-Index: 14

Ruimeng Hu
Ruimeng Hu

H-Index: 7

Deep reinforcement learning in finite-horizon to explore the most probable transition pathway

Physica D: Nonlinear Phenomena

2024/2/1

A neural network warm-start approach for the inverse acoustic obstacle scattering problem

Journal of Computational Physics

2023/10/1

An equivariant neural operator for developing nonlocal tensorial constitutive models

Journal of Computational Physics

2023/9

Jiequn Han
Jiequn Han

H-Index: 14

Heng Xiao
Heng Xiao

H-Index: 23

Improving gradient computation for differentiable physics simulation with contacts

2023/6/6

Yaofeng Desmond Zhong
Yaofeng Desmond Zhong

H-Index: 5

Jiequn Han
Jiequn Han

H-Index: 14

Reinforcement learning with function approximation: From linear to nonlinear

Intelligent Transportation Systems, IEEE Transactions on

2011/6

Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations

arXiv preprint arXiv:2312.11842

2023/12/19

Jiequn Han
Jiequn Han

H-Index: 14

Heng Xiao
Heng Xiao

H-Index: 23

Stochastic Optimal Control Matching

arXiv preprint arXiv:2312.02027

2023/12/4

Learning Free Terminal Time Optimal Closed-loop Control of Manipulators

arXiv preprint arXiv:2311.17749

2023/11/29

Dynamical Systems and Optimal Control Approach to Deep Learning

Mathematical Aspects of Deep Learning

2022/12/22

Jiequn Han
Jiequn Han

H-Index: 14

Qianxiao Li
Qianxiao Li

H-Index: 14

A PDE-free, neural network-based eddy viscosity model coupled with RANS equations

International Journal of Heat and Fluid Flow

2022/12/1

Jiequn Han
Jiequn Han

H-Index: 14

Heng Xiao
Heng Xiao

H-Index: 23

Initial value problem enhanced sampling for closed-loop optimal control design with deep neural networks

arXiv preprint arXiv:2209.04078

2022/9/9

Wei Hu
Wei Hu

H-Index: 1

Jiequn Han
Jiequn Han

H-Index: 14

Pandemic Control, Game Theory and Machine Learning

Notices of the American Mathematical Society

2022/8/15

Jiequn Han
Jiequn Han

H-Index: 14

Ruimeng Hu
Ruimeng Hu

H-Index: 7

Differentiable physics simulations with contacts: Do they have correct gradients wrt position, velocity and control?

arXiv preprint arXiv:2207.05060

2022/7/8

Yaofeng Desmond Zhong
Yaofeng Desmond Zhong

H-Index: 5

Jiequn Han
Jiequn Han

H-Index: 14

Neural-network quantum states for periodic systems in continuous space

Physical Review Research

2022/5/20

Jiequn Han
Jiequn Han

H-Index: 14

Giuseppe Carleo
Giuseppe Carleo

H-Index: 23

Solving optimal control of rigid-body dynamics with collisions using the hybrid minimum principle

arXiv preprint arXiv:2205.08622

2022/5/17

Empowering Optimal Control with Machine Learning: A Perspective from Model Predictive Control

IFAC-PapersOnLine

2022/1/1

Jiequn Han
Jiequn Han

H-Index: 14

See List of Professors in Jiequn Han University(Princeton University)

Co-Authors

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