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1801.08116
Cited By
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
24 January 2018
Joel Z Leibo
Cyprien de Masson dÁutume
Daniel Zoran
David Amos
Charlie Beattie
Keith Anderson
Antonio García Castañeda
Manuel Sanchez
Simon Green
A. Gruslys
Shane Legg
Demis Hassabis
M. Botvinick
Re-assign community
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Papers citing
"Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents"
21 / 21 papers shown
Title
Neuroevolution of Self-Interpretable Agents
Yujin Tang
Duong Nguyen
David R Ha
98
113
0
18 Mar 2020
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
320
887
0
11 Nov 2017
Understanding Early Word Learning in Situated Artificial Agents
Felix Hill
S. Clark
Karl Moritz Hermann
Phil Blunsom
LM&Ro
49
32
0
26 Oct 2017
Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin
Gemma Roig
T. Poggio
30
34
0
26 Jun 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter
David Barrett
Adam Santoro
M. Botvinick
73
196
0
26 Jun 2017
Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot
Kanthashree Mysore Sathyendra
Rama Kumar Pasumarthi
Dheeraj Rajagopal
Ruslan Salakhutdinov
LM&Ro
53
279
0
22 Jun 2017
Grounded Language Learning in a Simulated 3D World
Karl Moritz Hermann
Felix Hill
Simon Green
Fumin Wang
Ryan Faulkner
...
Denis Teplyashin
Marcus Wainwright
C. Apps
Demis Hassabis
Phil Blunsom
LM&Ro
44
306
0
20 Jun 2017
Recurrent Environment Simulators
Silvia Chiappa
S. Racanière
Daan Wierstra
S. Mohamed
65
208
0
07 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
FedML
84
905
0
03 Mar 2017
DeepMind Lab
Charlie Beattie
Joel Z Leibo
Denis Teplyashin
Tom Ward
Marcus Wainwright
...
Stephen Gaffney
Helen King
Demis Hassabis
Shane Legg
Stig Petersen
50
241
0
12 Dec 2016
Learning to reinforcement learn
Jane X. Wang
Z. Kurth-Nelson
Dhruva Tirumala
Hubert Soyer
Joel Z Leibo
Rémi Munos
Charles Blundell
D. Kumaran
M. Botvinick
OffRL
97
979
0
17 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
101
1,228
0
16 Nov 2016
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
93
880
0
11 Nov 2016
RL
2
^2
2
: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
96
1,019
0
09 Nov 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
Michal Kempka
Marek Wydmuch
Grzegorz Runc
Jakub Toczek
Wojciech Ja'skowski
60
697
0
06 May 2016
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
197
8,851
0
04 Feb 2016
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
163
1,962
0
16 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
346
10,069
0
10 Feb 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
552
27,300
0
01 Sep 2014
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
152
3,656
0
24 Jun 2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
C. Cadieu
Ha Hong
Daniel L. K. Yamins
Nicolas Pinto
Diego Ardila
E. Solomon
N. Majaj
J. DiCarlo
86
787
0
12 Jun 2014
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