Data-Driven Tensor Train Gradient Cross Approximation for Hamilton–Jacobi–Bellman Equations-Reference-Cited by-同舟云学术

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Data-Driven Tensor Train Gradient Cross Approximation for Hamilton–Jacobi–Bellman Equations

Published:2023-09-13 Issue:5 Volume:45 Page:A2153-A2184
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Dolgov Sergey¹,Kalise Dante²,Saluzzi Luca²^ORCID

Affiliation:

1. Department of Mathematical Sciences, University of Bath, North Road, BA2 7AY Bath, United Kingdom.

2. Department of Mathematics, Imperial College London, South Kensington Campus, SW7 2AZ London, United Kingdom.

Funder

Engineering and Physical Sciences Research Council

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Reference48 articles.

1. The Max-Plus Finite Element Method for Solving Deterministic Optimal Control Problems: Basic Properties and Convergence Analysis

2. Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-Dependent Riccati Equations

3. State-dependent Riccati equation feedback stabilization for nonlinear PDEs

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