I agree that this site is using cookies. You can find further informations here.
X
Han, Jiequn
100  results:
OpenAccess-fulltext X
Search for persons X
?
1

Learning Free Terminal Time Optimal Closed-loop Control of ..:

Hu, Wei ; Zhao, Yue ; E, Weinan..
http://arxiv.org/abs/2311.17749.  , 2023
Link: http://arxiv.org/abs/231..
 
?
2

Improving Gradient Computation for Differentiable Physics S..:

Zhong, Yaofeng Desmond ; Han, Jiequn ; Dey, Biswadip.
http://arxiv.org/abs/2305.00092.  , 2023
Link: http://arxiv.org/abs/230..
 
?
3

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

Zeng, Jinzhe ; Zhang, Duo ; Lu, Denghui...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445636/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
?
4

Deep Reinforcement Learning in Finite-Horizon to Explore th..:

Guo, Jin ; Gao, Ting ; Zhang, Peng..
http://arxiv.org/abs/2304.12994.  , 2023
Link: http://arxiv.org/abs/230..
 
?
5

Neural operator-based super-fidelity: A warm-start approach..:

Zhou, Xu-Hui ; Han, Jiequn ; Zafar, Muhammad I..
http://arxiv.org/abs/2312.11842.  , 2023
Link: http://arxiv.org/abs/231..
 
?
6

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

Zeng, Jinzhe ; Zhang, Duo ; Lu, Denghui...
Zeng , J , Zhang , D , Lu , D , Mo , P , Li , Z , Chen , Y , Rynik , M , Huang , L , Li , Z , Shi , S , Wang , Y , Ye , H , Tuo , P , Yang , J , Ding , Y , Li , Y , Tisi , D , Zeng , Q , Bao , H , Xia , Y , Huang , J , Muraoka , K , Wang , Y , Chang , J , Yuan , F , Bore , S L , Cai , C , Lin , Y , Wang , B , Xu , J , Zhu , J X , Luo , C , Zhang , Y , Goodall , R E A , Liang , W , Singh , A K , Yao , S , Zhang , J , Wentzcovitch , R , Han , J , Liu , J , Jia , W , York , D M , Weinan , E , Car , R , Zhang , L & Wang , H 2023 , ' DeePMD-kit v2: a software package for deep potential models ' , Journal of Chemical Physics , vol. 159 , no. 5 , 054801 . https://doi.org/10.1063/5.0155600.  , 2023
Link: https://pure.qub.ac.uk/e..
 
?
7

Reinforcement Learning with Function Approximation: From Li..:

Long, Jihao ; Han, Jiequn
http://arxiv.org/abs/2302.09703.  , 2023
Link: http://arxiv.org/abs/230..
 
?
8

DeePMD-kit v2: A software package for Deep Potential models:

Zeng, Jinzhe ; Zhang, Duo ; Lu, Denghui...
http://arxiv.org/abs/2304.09409.  , 2023
Link: http://arxiv.org/abs/230..
 
?
9

Stochastic Optimal Control Matching:

Domingo-Enrich, Carles ; Han, Jiequn ; Amos, Brandon..
http://arxiv.org/abs/2312.02027.  , 2023
Link: http://arxiv.org/abs/231..
 
?
10

A PDE-free, neural network-based eddy viscosity model coupl..:

Xu, Ruiying ; Zhou, Xu-Hui ; Han, Jiequn..
http://arxiv.org/abs/2202.08342.  , 2022
Link: http://arxiv.org/abs/220..
 
?
11

Learning High-Dimensional McKean-Vlasov Forward-Backward St..:

Han, Jiequn ; Hu, Ruimeng ; Long, Jihao
http://arxiv.org/abs/2204.11924.  , 2022
Link: http://arxiv.org/abs/220..
 
?
12

A Machine Learning Enhanced Algorithm for the Optimal Landi..:

Zang, Yaohua ; Long, Jihao ; Zhang, Xuanxi...
http://arxiv.org/abs/2203.06753.  , 2022
Link: http://arxiv.org/abs/220..
 
?
13

Empowering Optimal Control with Machine Learning: A Perspec..:

E, Weinan ; Han, Jiequn ; Long, Jihao
http://arxiv.org/abs/2205.07990.  , 2022
Link: http://arxiv.org/abs/220..
 
?
14

Income and wealth distribution in macroeconomics: a continu..:

Achdou, Yves ; Han, Jiequn ; Lasry, Jean Michel..
http://eprints.lse.ac.uk/107422/1/Moll_income_and_wealth_distribution_macroeconomics_published.pdf.  , 2022
Link: http://eprints.lse.ac.uk..
 
?
15

Solving optimal control of rigid-body dynamics with collisi..:

Hu, Wei ; Long, Jihao ; Zang, Yaohua..
http://arxiv.org/abs/2205.08622.  , 2022
Link: http://arxiv.org/abs/220..
 
1-15