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Large Scale Model Predictive Control with Neural Networks and Primal
  Active Sets
v1v2 (latest)

Large Scale Model Predictive Control with Neural Networks and Primal Active Sets

23 October 2019
Steven W. Chen
Tianyu Wang
Nikolay Atanasov
Vijay Kumar
M. Morari
ArXiv (abs)PDFHTML

Papers citing "Large Scale Model Predictive Control with Neural Networks and Primal Active Sets"

11 / 11 papers shown
Title
Diffusion Policies for Generative Modeling of Spacecraft Trajectories
Julia Briden
Breanna Johnson
Richard Linares
Abhishek Cauligi
95
4
0
03 Jan 2025
Safe and Near-Optimal Policy Learning for Model Predictive Control using
  Primal-Dual Neural Networks
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks
Xiaojing Zhang
Monimoy Bujarbaruah
Francesco Borrelli
64
63
0
19 Jun 2019
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Boris Hanin
David Rolnick
84
228
0
03 Jun 2019
Learning an Approximate Model Predictive Controller with Guarantees
Learning an Approximate Model Predictive Controller with Guarantees
Michael Hertneck
Johannes Köhler
Sebastian Trimpe
Frank Allgöwer
66
226
0
11 Jun 2018
Generalization in Machine Learning via Analytical Learning Theory
Generalization in Machine Learning via Analytical Learning Theory
Kenji Kawaguchi
Yoshua Bengio
Vikas Verma
Leslie Pack Kaelbling
45
10
0
21 Feb 2018
Search-based Motion Planning for Quadrotors using Linear Quadratic
  Minimum Time Control
Search-based Motion Planning for Quadrotors using Linear Quadratic Minimum Time Control
Sikang Liu
Nikolay Atanasov
K. Mohta
Vijay Kumar
34
191
0
15 Sep 2017
Understanding Deep Neural Networks with Rectified Linear Units
Understanding Deep Neural Networks with Rectified Linear Units
R. Arora
A. Basu
Poorya Mianjy
Anirbit Mukherjee
PINN
154
643
0
04 Nov 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
On the Number of Linear Regions of Deep Neural Networks
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
92
1,256
0
08 Feb 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
246
3,233
0
02 Nov 2010
1