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  4. Cited By
Schema Networks: Zero-shot Transfer with a Generative Causal Model of
  Intuitive Physics

Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics

14 June 2017
Ken Kansky
Tom Silver
David A. Mély
Mohamed Eldawy
Miguel Lazaro-Gredilla
Xinghua Lou
N. Dorfman
Szymon Sidor
Scott Phoenix
Dileep George
    AI4CE
ArXivPDFHTML

Papers citing "Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics"

30 / 30 papers shown
Title
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
66
3
0
24 May 2024
DetermiNet: A Large-Scale Diagnostic Dataset for Complex
  Visually-Grounded Referencing using Determiners
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
Clarence Lee
M Ganesh Kumar
Cheston Tan
28
3
0
07 Sep 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks
Conceptual Reinforcement Learning for Language-Conditioned Tasks
Shaohui Peng
Xingui Hu
Rui Zhang
Jiaming Guo
Qi Yi
Rui Chen
Zidong Du
Ling Li
Qi Guo
Yunji Chen
OffRL
31
8
0
09 Mar 2023
The Construction of Reality in an AI: A Review
The Construction of Reality in an AI: A Review
J. W. Johnston
3DV
13
1
0
03 Feb 2023
PushWorld: A benchmark for manipulation planning with tools and movable
  obstacles
PushWorld: A benchmark for manipulation planning with tools and movable obstacles
Ken Kansky
Skanda Vaidyanath
Scott Swingle
Xinghua Lou
Miguel Lazaro-Gredilla
Dileep George
11
4
0
24 Jan 2023
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
24
44
0
17 Mar 2022
Capturing the objects of vision with neural networks
Capturing the objects of vision with neural networks
B. Peters
N. Kriegeskorte
OCL
28
56
0
07 Sep 2021
Human-Level Reinforcement Learning through Theory-Based Modeling,
  Exploration, and Planning
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Pedro Tsividis
J. Loula
Jake Burga
Nathan Foss
Andres Campero
Thomas Pouncy
S. Gershman
J. Tenenbaum
LM&Ro
18
43
0
27 Jul 2021
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical
  appraisal of deep learning
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning
Stefanos Tsimenidis
17
12
0
22 Dec 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement
  Learning
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning
Maximilian Igl
Gregory Farquhar
Jelena Luketina
Wendelin Boehmer
Shimon Whiteson
11
83
0
10 Jun 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
G. Marcus
VLM
24
353
0
14 Feb 2020
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford
Joelle Pineau
36
66
0
20 Nov 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
G. Konidaris
22
355
0
06 Jul 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
22
253
0
19 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL
A Perspective on Objects and Systematic Generalization in Model-Based RL
Sjoerd van Steenkiste
Klaus Greff
Jürgen Schmidhuber
OCL
OffRL
14
31
0
03 Jun 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik Narasimhan
11
33
0
13 May 2019
Few-Shot Bayesian Imitation Learning with Logical Program Policies
Few-Shot Bayesian Imitation Learning with Logical Program Policies
Tom Silver
Kelsey R. Allen
Alexander K. Lew
L. Kaelbling
J. Tenenbaum
LM&Ro
13
50
0
12 Apr 2019
Modularization of End-to-End Learning: Case Study in Arcade Games
Modularization of End-to-End Learning: Case Study in Arcade Games
Andrew Melnik
Sascha Fleer
M. Schilling
Helge J. Ritter
OffRL
29
12
0
27 Jan 2019
Combined Reinforcement Learning via Abstract Representations
Combined Reinforcement Learning via Abstract Representations
Vincent François-Lavet
Yoshua Bengio
Doina Precup
Joelle Pineau
OffRL
14
89
0
12 Sep 2018
Relational Deep Reinforcement Learning
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
8
218
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
79
3,077
0
04 Jun 2018
Transfer Learning for Related Reinforcement Learning Tasks via
  Image-to-Image Translation
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Shani Gamrian
Yoav Goldberg
22
104
0
31 May 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
23
873
0
03 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
34
290
0
28 Feb 2018
Investigating Human Priors for Playing Video Games
Investigating Human Priors for Playing Video Games
Rachit Dubey
Pulkit Agrawal
Deepak Pathak
Thomas L. Griffiths
Alexei A. Efros
OffRL
11
144
0
28 Feb 2018
A Critical Investigation of Deep Reinforcement Learning for Navigation
A Critical Investigation of Deep Reinforcement Learning for Navigation
Vikas Dhiman
Shurjo Banerjee
Brent A. Griffin
J. Siskind
Jason J. Corso
19
36
0
07 Feb 2018
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
40
547
0
19 Jul 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
101
1,502
0
25 Jan 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
238
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
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