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ToyArchitecture: Unsupervised Learning of Interpretable Models of the
  World
v1v2v3 (latest)

ToyArchitecture: Unsupervised Learning of Interpretable Models of the World

20 March 2019
Jaroslav Vítků
Petr Dluhos
Joseph Davidson
Matej Nikl
Simon Andersson
Premysl Paska
Jan Sinkora
Petr Hlubucek
Martin Stránský
M. Hyben
Martin Poliak
Jan Feyereisl
Marek Rosa
    AI4CESSL
ArXiv (abs)PDFHTML

Papers citing "ToyArchitecture: Unsupervised Learning of Interpretable Models of the World"

13 / 13 papers shown
Title
Unsupervised Predictive Memory in a Goal-Directed Agent
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne
Chia-Chun Hung
David Amos
M. Berk Mirza
Arun Ahuja
...
David Silver
Koray Kavukcuoglu
M. Botvinick
Demis Hassabis
Timothy Lillicrap
83
192
0
28 Mar 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
156
1,101
0
27 Mar 2018
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
190
4,606
0
26 Oct 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
120
417
0
26 Jul 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
189
1,615
0
05 Jun 2017
Model-Free Episodic Control
Model-Free Episodic Control
Charles Blundell
Benigno Uria
Alexander Pritzel
Yazhe Li
Avraham Ruderman
Joel Z Leibo
Jack W. Rae
Daan Wierstra
Demis Hassabis
OffRLBDL
59
250
0
14 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
76
1,141
0
20 Apr 2016
A Roadmap towards Machine Intelligence
A Roadmap towards Machine Intelligence
Tomas Mikolov
Armand Joulin
Marco Baroni
64
118
0
25 Nov 2015
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in
  Neocortex
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
J. Hawkins
Subutai Ahmad
52
407
0
31 Oct 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
102
1,372
0
09 Jul 2015
Bounded Recursive Self-Improvement
Bounded Recursive Self-Improvement
Eric Nivel
K. Thórisson
Bas R. Steunebrink
H. Dindo
G. Pezzulo
...
Jürgen Schmidhuber
R. Sanz
Helgi Páll Helgason
A. Chella
G. Jonsson
LRMAI4CE
53
35
0
24 Dec 2013
POWERPLAY: Training an Increasingly General Problem Solver by
  Continually Searching for the Simplest Still Unsolvable Problem
POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem
Jürgen Schmidhuber
97
150
0
22 Dec 2011
Reconstruction of Epsilon-Machines in Predictive Frameworks and
  Decisional States
Reconstruction of Epsilon-Machines in Predictive Frameworks and Decisional States
N. Brodu
107
13
0
03 Feb 2009
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