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1706.04317
Cited By
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
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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
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
Clarence Lee
M Ganesh Kumar
Cheston Tan
28
3
0
07 Sep 2023
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
J. W. Johnston
3DV
13
1
0
03 Feb 2023
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
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
24
44
0
17 Mar 2022
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
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
Stefanos Tsimenidis
17
12
0
22 Dec 2020
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
G. Marcus
VLM
24
353
0
14 Feb 2020
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
Oliver Kroemer
S. Niekum
G. Konidaris
22
355
0
06 Jul 2019
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
Sjoerd van Steenkiste
Klaus Greff
Jürgen Schmidhuber
OCL
OffRL
14
31
0
03 Jun 2019
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
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
Andrew Melnik
Sascha Fleer
M. Schilling
Helge J. Ritter
OffRL
29
12
0
27 Jan 2019
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
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
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
Shani Gamrian
Yoav Goldberg
22
104
0
31 May 2018
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
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
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
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
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
Yuxi Li
OffRL
VLM
101
1,502
0
25 Jan 2017
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
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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