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Deep neural networks algorithms for stochastic control problems on
  finite horizon: numerical applications
v1v2v3 (latest)

Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications

13 December 2018
Achref Bachouch
Côme Huré
N. Langrené
H. Pham
ArXiv (abs)PDFHTML

Papers citing "Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications"

5 / 5 papers shown
Title
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
82
2,532
0
16 May 2024
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
Huafu Liao
Alpár R. Mészáros
Chenchen Mou
Chao Zhou
72
2
0
08 Apr 2024
Deep neural networks algorithms for stochastic control problems on
  finite horizon: convergence analysis
Deep neural networks algorithms for stochastic control problems on finite horizon: convergence analysis
Côme Huré
H. Pham
Achref Bachouch
N. Langrené
55
66
0
11 Dec 2018
Machine Learning for semi linear PDEs
Machine Learning for semi linear PDEs
Quentin Chan-Wai-Nam
Joseph Mikael
X. Warin
ODL
73
113
0
20 Sep 2018
Deep learning-based numerical methods for high-dimensional parabolic
  partial differential equations and backward stochastic differential equations
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations
Weinan E
Jiequn Han
Arnulf Jentzen
125
798
0
15 Jun 2017
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