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Unsupervised Object-Based Transition Models for 3D Partially Observable
  Environments

Unsupervised Object-Based Transition Models for 3D Partially Observable Environments

8 March 2021
Antonia Creswell
Rishabh Kabra
Christopher P. Burgess
Murray Shanahan
    OCL
ArXivPDFHTML

Papers citing "Unsupervised Object-Based Transition Models for 3D Partially Observable Environments"

27 / 27 papers shown
Title
Object-Centric Image to Video Generation with Language Guidance
Object-Centric Image to Video Generation with Language Guidance
Angel Villar-Corrales
Gjergj Plepi
Sven Behnke
DiffM
VGen
OCL
216
1
0
17 Feb 2025
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
Angel Villar-Corrales
Sven Behnke
193
4
0
11 Feb 2025
Learning Object-Centric Video Models by Contrasting Sets
Learning Object-Centric Video Models by Contrasting Sets
Sindy Löwe
Klaus Greff
Rico Jonschkowski
Alexey Dosovitskiy
Thomas Kipf
SSL
OCL
37
24
0
20 Nov 2020
AlignNet: Unsupervised Entity Alignment
AlignNet: Unsupervised Entity Alignment
Antonia Creswell
Kyriacos Nikiforou
Oriol Vinyals
Andre Saraiva
Rishabh Kabra
...
Christopher P. Burgess
Malcolm Reynolds
Richard Tanburn
M. Garnelo
Murray Shanahan
VOS
3DPC
OCL
41
14
0
17 Jul 2020
Object Files and Schemata: Factorizing Declarative and Procedural
  Knowledge in Dynamical Systems
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
Anirudh Goyal
Alex Lamb
Phanideep Gampa
Philippe Beaudoin
Sergey Levine
Charles Blundell
Yoshua Bengio
Michael C. Mozer
OCL
59
71
0
29 Jun 2020
Human Instruction-Following with Deep Reinforcement Learning via
  Transfer-Learning from Text
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text
Felix Hill
Soňa Mokrá
Nathaniel Wong
Tim Harley
LM&Ro
63
82
0
19 May 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
113
1,354
0
03 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
69
284
0
27 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni
John D. Co-Reyes
Michael Chang
Michael Janner
Chelsea Finn
Jiajun Wu
J. Tenenbaum
Sergey Levine
OCL
OffRL
69
189
0
28 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
83
107
0
01 Oct 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object
  Discovery and Curiosity-Driven Exploration
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters
Loic Matthey
Matko Bosnjak
Christopher P. Burgess
Alexander Lerchner
OffRL
106
117
0
22 May 2019
Multi-Object Representation Learning with Iterative Variational
  Inference
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCL
SSL
104
509
0
01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
84
528
0
22 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
214
3,724
0
09 Jan 2019
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive
  Trackers
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
Zhen He
Jian Li
Daxue Liu
Hangen He
David Barber
VOT
43
54
0
10 Sep 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
174
306
0
11 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
77
258
0
05 Jun 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
115
1,079
0
27 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of
  Objects and their Interactions
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDL
OCL
DRL
200
291
0
28 Feb 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
283
8,902
0
21 Nov 2017
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
317
887
0
11 Nov 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
88
557
0
19 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
670
131,414
0
12 Jun 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
400
2,462
0
10 Mar 2017
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
83
226
0
18 Sep 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
67
161
0
21 Jun 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,099
0
18 May 2015
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