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Controllability-Constrained Deep Network Models for Enhanced Control of
  Dynamical Systems

Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems

11 November 2023
Suruchi Sharma
Volodymyr Makarenko
Gautam Kumar
Stas Tiomkin
    AI4CE
ArXivPDFHTML

Papers citing "Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems"

11 / 11 papers shown
Title
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
370
10,591
0
17 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
111
1,354
0
03 Dec 2019
Prediction, Consistency, Curvature: Representation Learning for
  Locally-Linear Control
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
Nir Levine
Yinlam Chow
Rui Shu
Ang Li
Mohammad Ghavamzadeh
Hung Bui
39
30
0
04 Sep 2019
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
84
1,435
0
12 Nov 2018
Variational Discriminator Bottleneck: Improving Imitation Learning,
  Inverse RL, and GANs by Constraining Information Flow
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng
Angjoo Kanazawa
Sam Toyer
Pieter Abbeel
Sergey Levine
69
216
0
01 Oct 2018
Robust Locally-Linear Controllable Embedding
Robust Locally-Linear Controllable Embedding
Ershad Banijamali
Rui Shu
Mohammad Ghavamzadeh
Hung Bui
A. Ghodsi
BDL
54
95
0
15 Oct 2017
Deep Learning in Robotics: A Review of Recent Research
Deep Learning in Robotics: A Review of Recent Research
H. A. Pierson
Michael S. Gashler
3DV
67
269
0
22 Jul 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
208
5,075
0
05 Jun 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
63
845
0
24 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
170
676
0
21 Nov 2014
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