Jiequn Han
Princeton University
H-index: 24
North America-United States
Top articles of Jiequn Han
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
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 | Yue Zhao Jiequn Han | 2024/6/1 |
Optimal Taxation with Incomplete Markets–an Exploration via Reinforcement Learning | Available at SSRN 4758552 | Zhigang Feng Jiequn Han Shenghao Zhu | 2024/3/5 |
Learning high-dimensional McKean–Vlasov forward-backward stochastic differential equations with general distribution dependence | SIAM Journal on Numerical Analysis | Jiequn Han Ruimeng Hu Jihao Long | 2024/2/29 |
Deep reinforcement learning in finite-horizon to explore the most probable transition pathway | Physica D: Nonlinear Phenomena | Jin Guo Ting Gao Peng Zhang Jiequn Han Jinqiao Duan | 2024/2/1 |
Improving gradient computation for differentiable physics simulation with contacts | Yaofeng Desmond Zhong Jiequn Han Biswadip Dey Georgia Olympia Brikis | 2023/6/6 | |
Stochastic Optimal Control Matching | arXiv preprint arXiv:2312.02027 | Carles Domingo-Enrich Jiequn Han Brandon Amos Joan Bruna Ricky TQ Chen | 2023/12/4 |
Reinforcement learning with function approximation: From linear to nonlinear | Intelligent Transportation Systems, IEEE Transactions on | Prashanth LA Shalabh Bhatnagar | 2011/6 |
Learning Free Terminal Time Optimal Closed-loop Control of Manipulators | arXiv preprint arXiv:2311.17749 | Wei Hu Yue Zhao Jiequn Han Jihao Long | 2023/11/29 |
A neural network warm-start approach for the inverse acoustic obstacle scattering problem | Journal of Computational Physics | Mo Zhou Jiequn Han Manas Rachh Carlos Borges | 2023/10/1 |
An equivariant neural operator for developing nonlocal tensorial constitutive models | Journal of Computational Physics | Jiequn Han Xu-Hui Zhou Heng Xiao | 2023/9 |
DeePMD-kit v2: A software package for deep potential models | The Journal of Chemical Physics | Jinzhe Zeng Duo Zhang Denghui Lu Pinghui Mo Zeyu Li | 2023/4/19 |
Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations | arXiv preprint arXiv:2312.11842 | Xu-Hui Zhou Jiequn Han Muhammad I Zafar Christopher J Roy Heng Xiao | 2023/12/19 |
Optimal policies for a pandemic: A stochastic game approach and a deep learning algorithm | Yao Xuan Robert Balkin Jiequn Han Ruimeng Hu Hector D Ceniceros | 2022/4/30 | |
Pandemic Control, Game Theory and Machine Learning | Notices of the American Mathematical Society | Yao Xuan Robert Balkin Jiequn Han Ruimeng Hu Hector D Ceniceros | 2022/8/15 |
A machine learning enhanced algorithm for the optimal landing problem | Yaohua Zang Jihao Long Xuanxi Zhang Wei Hu E Weinan | 2022/9/14 | |
Differentiable physics simulations with contacts: Do they have correct gradients wrt position, velocity and control? | arXiv preprint arXiv:2207.05060 | Yaofeng Desmond Zhong Jiequn Han Georgia Olympia Brikis | 2022/7/8 |
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks | Journal of Machine Learning Research | Zhong Li Jiequn Han E Weinan Qianxiao Li | 2022 |
Neural-network quantum states for periodic systems in continuous space | Physical Review Research | Gabriel Pescia Jiequn Han Alessandro Lovato Jianfeng Lu Giuseppe Carleo | 2022/5/20 |
Dynamical Systems and Optimal Control Approach to Deep Learning | Mathematical Aspects of Deep Learning | E Weinan Jiequn Han Qianxiao Li | 2022/12/22 |
Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids | Computer Methods in Applied Mechanics and Engineering | Xu-Hui Zhou Jiequn Han Heng Xiao | 2022/1/1 |
Co-Authors
