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DeepMind Lab

DeepMind Lab

12 December 2016
Charlie Beattie
Joel Z Leibo
Denis Teplyashin
Tom Ward
Marcus Wainwright
Heinrich Küttler
Andrew Lefrancq
Simon Green
Víctor Valdés
Amir Sadik
Julian Schrittwieser
Keith Anderson
Sarah York
Max Cant
Adam Cain
Adrian Bolton
Stephen Gaffney
Helen King
Demis Hassabis
Shane Legg
Stig Petersen
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Papers citing "DeepMind Lab"

46 / 146 papers shown
Title
Arena: A General Evaluation Platform and Building Toolkit for
  Multi-Agent Intelligence
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song
Andrzej Wojcicki
Thomas Lukasiewicz
Jianyi Wang
Abi Aryan
Zhenghua Xu
Mai Xu
Zihan Ding
Lianlong Wu
AI4CE
ELM
27
33
0
17 May 2019
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning
Yuji Kanagawa
Tomoyuki Kaneko
24
12
0
17 Apr 2019
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative
  Multi-Agent Reinforcement Learning
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning
Quentin Debard
J. Dibangoye
S. Canu
Christian Wolf
22
7
0
16 Apr 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning
  Without a Supercomputer
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
E. Beeching
Christian Wolf
J. Dibangoye
Olivier Simonin
OffRL
LRM
35
25
0
03 Apr 2019
Meta-Learning surrogate models for sequential decision making
Meta-Learning surrogate models for sequential decision making
Alexandre Galashov
Jonathan Richard Schwarz
Hyunjik Kim
M. Garnelo
D. Saxton
Pushmeet Kohli
S. M. Ali Eslami
Yee Whye Teh
BDL
OffRL
28
26
0
28 Mar 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically
  Motivated Exploration
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Jingwei Zhang
Niklas Wetzel
Nicolai Dorka
Joschka Boedecker
Wolfram Burgard
13
26
0
18 Mar 2019
The StreetLearn Environment and Dataset
The StreetLearn Environment and Dataset
Piotr Wojciech Mirowski
Andras Banki-Horvath
Keith Anderson
Denis Teplyashin
Karl Moritz Hermann
...
Matthew Koichi Grimes
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
3DV
26
64
0
04 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A
  Manifesto for Multi-Agent Intelligence Research
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
Joel Z Leibo
Edward Hughes
Marc Lanctot
T. Graepel
27
106
0
02 Mar 2019
Learning To Follow Directions in Street View
Learning To Follow Directions in Street View
Karl Moritz Hermann
Mateusz Malinowski
Piotr Wojciech Mirowski
Andras Banki-Horvath
Keith Anderson
R. Hadsell
SSL
26
66
0
01 Mar 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and
  Planning
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani
Ahmed Khalifa
Vincent-Pierre Berges
Jonathan Harper
Ervin Teng
Hunter Henry
A. Crespi
Julian Togelius
Danny Lange
22
143
0
04 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard
Jakob N. Foerster
A. Chandar
Neil Burch
Marc Lanctot
...
Iain Dunning
Shibl Mourad
Hugo Larochelle
Marc G. Bellemare
Michael Bowling
LLMAG
15
351
0
01 Feb 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
27
774
0
31 Dec 2018
Scaling shared model governance via model splitting
Scaling shared model governance via model splitting
Miljan Martic
Jan Leike
Andrew Trask
Matteo Hessel
Shane Legg
Pushmeet Kohli
FedML
22
2
0
14 Dec 2018
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
82
1,236
0
30 Nov 2018
Target Driven Visual Navigation with Hybrid Asynchronous Universal
  Successor Representations
Target Driven Visual Navigation with Hybrid Asynchronous Universal Successor Representations
Shamane Siriwardhana
Abdenacer Naouri
Huansheng Ning
19
5
0
27 Nov 2018
Assessing Generalization in Deep Reinforcement Learning
Assessing Generalization in Deep Reinforcement Learning
Charles Packer
Katelyn Gao
Jernej Kos
Philipp Krahenbuhl
V. Koltun
D. Song
OffRL
18
233
0
29 Oct 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement
  Learning
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning
P. Nagarajan
Garrett A. Warnell
Peter Stone
20
51
0
15 Sep 2018
Multi-task Deep Reinforcement Learning with PopArt
Multi-task Deep Reinforcement Learning with PopArt
Matteo Hessel
Hubert Soyer
L. Espeholt
Wojciech M. Czarnecki
Simon Schmitt
H. V. Hasselt
13
314
0
12 Sep 2018
Answering Visual What-If Questions: From Actions to Predicted Scene
  Descriptions
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions
M. Wagner
H. Basevi
Rakshith Shetty
Wenbin Li
Mateusz Malinowski
M. Fritz
A. Leonardis
27
29
0
11 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels
ViZDoom Competitions: Playing Doom from Pixels
Marek Wydmuch
Michal Kempka
Wojciech Ja'skowski
29
119
0
10 Sep 2018
Unity: A General Platform for Intelligent Agents
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
33
808
0
07 Sep 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent
  Homologies
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
29
119
0
20 Aug 2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in
  Real-Time Strategy Games
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
VLM
AI4CE
18
46
0
15 Aug 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat
ToriLLE: Learning Environment for Hand-to-Hand Combat
Anssi Kanervisto
Ville Hautamaki
26
2
0
26 Jul 2018
VFunc: a Deep Generative Model for Functions
VFunc: a Deep Generative Model for Functions
Philip Bachman
Riashat Islam
Alessandro Sordoni
Zafarali Ahmed
VLM
BDL
36
8
0
11 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
50
10,050
0
10 Jul 2018
The Temporal Singularity: time-accelerated simulated civilizations and
  their implications
The Temporal Singularity: time-accelerated simulated civilizations and their implications
G. Spigler
3DGS
AI4CE
11
1
0
22 Jun 2018
Re-evaluating Evaluation
Re-evaluating Evaluation
David Balduzzi
K. Tuyls
Julien Perolat
T. Graepel
MoMe
30
97
0
07 Jun 2018
Number Sequence Prediction Problems for Evaluating Computational Powers
  of Neural Networks
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
Hyoungwook Nam
Segwang Kim
Kyomin Jung
AIMat
26
15
0
19 May 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLM
OffRL
15
177
0
10 Apr 2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement
  Learning for Planned-Ahead Vision-and-Language Navigation
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Xin Eric Wang
Wenhan Xiong
Hongmin Wang
William Yang Wang
33
198
0
21 Mar 2018
A Deep Learning Based Behavioral Approach to Indoor Autonomous
  Navigation
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation
G. Sepulveda
Juan Carlos Niebles
Á. Soto
GNN
16
37
0
12 Mar 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent
Unicorn: Continual Learning with a Universal, Off-policy Agent
D. Mankowitz
Augustin Žídek
André Barreto
Dan Horgan
Matteo Hessel
John Quan
Junhyuk Oh
H. V. Hasselt
David Silver
Tom Schaul
CLL
OffRL
33
48
0
22 Feb 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
28
319
0
12 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Joel Z Leibo
Cyprien de Masson dÁutume
Daniel Zoran
David Amos
Charlie Beattie
...
Simon Green
A. Gruslys
Shane Legg
Demis Hassabis
M. Botvinick
24
78
0
24 Jan 2018
AI2-THOR: An Interactive 3D Environment for Visual AI
AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve
Roozbeh Mottaghi
Winson Han
Eli VanderBilt
Luca Weihs
...
Daniel Gordon
Yuke Zhu
Aniruddha Kembhavi
Abhinav Gupta
Ali Farhadi
LM&Ro
11
1,080
0
14 Dec 2017
MINOS: Multimodal Indoor Simulator for Navigation in Complex
  Environments
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
Manolis Savva
Angel X. Chang
Alexey Dosovitskiy
Thomas Funkhouser
V. Koltun
24
246
0
11 Dec 2017
Embodied Question Answering
Embodied Question Answering
Abhishek Das
Samyak Datta
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
48
640
0
30 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Gino Brunner
Oliver Richter
Yuyi Wang
Roger Wattenhofer
3DV
27
52
0
20 Nov 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and
  Open Problems for General Agents
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
35
544
0
18 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
24
206
0
25 Aug 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
62
2,776
0
19 Aug 2017
Stein Variational Policy Gradient
Stein Variational Policy Gradient
Yang Liu
Prajit Ramachandran
Qiang Liu
Jian-wei Peng
16
138
0
07 Apr 2017
Embodied Artificial Intelligence through Distributed Adaptive Control:
  An Integrated Framework
Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework
Clément Moulin-Frier
J. Puigbò
X. Arsiwalla
Martí Sánchez-Fibla
P. Verschure
24
25
0
05 Apr 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Learning to Navigate in Complex Environments
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
16
874
0
11 Nov 2016
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