Adaptive Deep Learning for High-Dimensional Hamilton--Jacobi--Bellman Equations
Author:
Funder
Defense Advanced Research Projects Agency
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Computational Mathematics
Link
https://epubs.siam.org/doi/pdf/10.1137/19M1288802
Reference26 articles.
1. Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
2. On the optimal stabilization of nonlinear systems
3. An Adaptive Sparse Grid Semi-Lagrangian Scheme for First Order Hamilton-Jacobi Bellman Equations
4. Optimization Methods for Large-Scale Machine Learning
5. Sample size selection in optimization methods for machine learning
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