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2103.04091
Cited By

Gradient-augmented Supervised Learning of Optimal Feedback Laws Using
State-dependent Riccati Equations

Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations

IEEE Control Systems Letters (L-CSS), 2021

6 March 2021

ArXiv (abs)PDF HTML

Papers citing "Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations"

5 / 5 papers shown

Data/moment-driven approaches for fast predictive control of collective
dynamics

Data/moment-driven approaches for fast predictive control of collective dynamics

180

2

0

23 Feb 2024

Multi-level Optimal Control with Neural Surrogate Models

Multi-level Optimal Control with Neural Surrogate Models

Estefanía Loayza-Romero

Kirsten A. Morris

135

3

0

12 Feb 2024

Data-driven initialization of deep learning solvers for
Hamilton-Jacobi-Bellman PDEs

Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEsIFAC-PapersOnLine (IFAC-PapersOnLine), 2022

Anastasia Borovykh

Alexis Laignelet

218

8

0

19 Jul 2022

Neural network optimal feedback control with enhanced closed loop
stability

Neural network optimal feedback control with enhanced closed loop stability

Tenavi Nakamura-Zimmerer

191

8

0

15 Sep 2021

Neural network architectures using min-plus algebra for solving certain
high dimensional optimal control problems and Hamilton-Jacobi PDEs

Neural network architectures using min-plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEsMCSS. Mathematics of Control, Signals and Systems (MCSS), 2021

361

30

0

07 May 2021

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