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2311.06438
Cited By
Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems
11 November 2023
Suruchi Sharma
Volodymyr Makarenko
Gautam Kumar
Stas Tiomkin
AI4CE
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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
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
385
10,591
0
17 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
113
1,354
0
03 Dec 2019
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
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
86
1,435
0
12 Nov 2018
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
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
H. A. Pierson
Michael S. Gashler
3DV
67
269
0
22 Jul 2017
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
214
5,075
0
05 Jun 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
66
845
0
24 Jun 2015
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
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
170
676
0
21 Nov 2014
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