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Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
v1v2v3 (latest)

Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images

24 June 2015
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
    BDL
ArXiv (abs)PDFHTML

Papers citing "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images"

27 / 27 papers shown
Title
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
Shiguang Sun
Hanbo Zhang
Zeyang Liu
Xinrui Yang
Lipeng Wan
Bing Yan
Xingyu Chen
Xuguang Lan
184
0
0
05 Apr 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
112
0
0
21 Feb 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
214
1
0
20 Feb 2025
ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
Fanxing Li
Fangyu Sun
Tianbao Zhang
Danping Zou
70
0
0
24 Jan 2025
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
Keyi Shen
Jiangwei Yu
Huan Zhang
Yunzhu Li
Yunzhu Li
140
1
0
12 Dec 2024
Online Control-Informed Learning
Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
90
1
0
04 Oct 2024
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Alejandro Castañeda Garcia
Jan van Gemert
Daan Brinks
Nergis Tömen
72
0
0
02 Oct 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
110
11
0
06 Mar 2024
Representation Matters: Offline Pretraining for Sequential Decision
  Making
Representation Matters: Offline Pretraining for Sequential Decision Making
Mengjiao Yang
Ofir Nachum
SSLOffRL
78
119
0
11 Feb 2021
Learning Multimodal Transition Dynamics for Model-Based Reinforcement
  Learning
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
Thomas M. Moerland
Joost Broekens
Catholijn M. Jonker
OffRL
71
31
0
01 May 2017
Unsupervised Perceptual Rewards for Imitation Learning
Unsupervised Perceptual Rewards for Imitation Learning
P. Sermanet
Kelvin Xu
Sergey Levine
SSL
90
159
0
20 Dec 2016
Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
90
457
0
30 Sep 2016
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
315
3,437
0
02 Apr 2015
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRLBDL
103
929
0
11 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GANDRL
168
1,961
0
16 Feb 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström
Thomas B. Schon
M. Deisenroth
74
189
0
08 Feb 2015
Transformation Properties of Learned Visual Representations
Transformation Properties of Learned Visual Representations
Taco S. Cohen
Max Welling
52
106
0
24 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Learning Stochastic Recurrent Networks
Learning Stochastic Recurrent Networks
Justin Bayer
Christian Osendorfer
BDL
76
274
0
27 Nov 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
174
676
0
21 Nov 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRLBDL
126
2,261
0
30 Oct 2014
Latent Kullback Leibler Control for Continuous-State Systems using
  Probabilistic Graphical Models
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models
Takamitsu Matsubara
Vicencc Gómez
H. Kappen
51
21
0
04 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
173
1,845
0
20 Dec 2013
Deep AutoRegressive Networks
Deep AutoRegressive Networks
Karol Gregor
Ivo Danihelka
A. Mnih
Charles Blundell
Daan Wierstra
AI4TSBDL
94
282
0
31 Oct 2013
Learning to relate images: Mapping units, complex cells and simultaneous
  eigenspaces
Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces
Roland Memisevic
113
74
0
01 Oct 2011
Learning Nonlinear Dynamic Models
Learning Nonlinear Dynamic Models
John Langford
Ruslan Salakhutdinov
Tong Zhang
95
50
0
20 May 2009
1