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ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement
  Learning
v1v2 (latest)

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

6 May 2016
Michal Kempka
Marek Wydmuch
Grzegorz Runc
Jakub Toczek
Wojciech Ja'skowski
ArXiv (abs)PDFHTML

Papers citing "ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning"

50 / 361 papers shown
Title
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
85
202
0
21 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
69
20
0
19 Mar 2018
The 2017 AIBIRDS Competition
The 2017 AIBIRDS Competition
Matthew Stephenson
Jochen Renz
X. Ge
Peng Zhang
23
14
0
14 Mar 2018
Hierarchical Reinforcement Learning: Approximating Optimal Discounted
  TSP Using Local Policies
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies
Tom Zahavy
Avinatan Hassidim
Haim Kaplan
Yishay Mansour
55
1
0
13 Mar 2018
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
105
383
0
01 Mar 2018
Global Pose Estimation with an Attention-based Recurrent Network
Global Pose Estimation with an Attention-based Recurrent Network
Emilio Parisotto
Devendra Singh Chaplot
Jian Zhang
Ruslan Salakhutdinov
58
70
0
19 Feb 2018
Reinforcement Learning from Imperfect Demonstrations
Reinforcement Learning from Imperfect Demonstrations
Yang Gao
Huazhe Xu
Ji Lin
Feng Yu
Sergey Levine
Trevor Darrell
84
202
0
14 Feb 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State
  Tabulation
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
Dane S. Corneil
W. Gerstner
Johanni Brea
OffRL
83
62
0
12 Feb 2018
Interactive Grounded Language Acquisition and Generalization in a 2D
  World
Interactive Grounded Language Acquisition and Generalization in a 2D World
Haonan Yu
Haichao Zhang
Wenyuan Xu
LLMAGLM&Ro
192
79
0
31 Jan 2018
Active Neural Localization
Active Neural Localization
Devendra Singh Chaplot
Emilio Parisotto
Ruslan Salakhutdinov
78
86
0
24 Jan 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
103
78
0
24 Jan 2018
CHALET: Cornell House Agent Learning Environment
CHALET: Cornell House Agent Learning Environment
Claudia Yan
Dipendra Kumar Misra
Andrew Bennett
Aaron Walsman
Yonatan Bisk
Yoav Artzi
LM&Ro
81
93
0
23 Jan 2018
Learning model-based strategies in simple environments with hierarchical
  q-networks
Learning model-based strategies in simple environments with hierarchical q-networks
Necati Alp Muyesser
Kyle Dunovan
Timothy D. Verstynen
33
1
0
20 Jan 2018
Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based
  Planning During Vision-Based Navigation
Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation
Justin S. Smith
J. Hwang
Fu-Jen Chu
Patricio A. Vela
65
6
0
16 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
3DV
142
339
0
07 Jan 2018
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, &
  Snapshot Ensembling
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling
Christopher Schulze
Marcus Schulze
115
32
0
03 Jan 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task
  Reinforcement Learning
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Tianmin Shu
Caiming Xiong
R. Socher
OffRL
151
140
0
20 Dec 2017
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
92
1,113
0
14 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie
R. Ichise
OffRL
56
15
0
12 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
97
247
0
11 Dec 2017
IQA: Visual Question Answering in Interactive Environments
IQA: Visual Question Answering in Interactive Environments
Daniel Gordon
Aniruddha Kembhavi
Mohammad Rastegari
Joseph Redmon
Dieter Fox
Ali Farhadi
LM&Ro
127
391
0
09 Dec 2017
HoME: a Household Multimodal Environment
HoME: a Household Multimodal Environment
Simon Brodeur
Ethan Perez
Ankesh Anand
Florian Golemo
Luca Herranz-Celotti
Florian Strub
Jean Rouat
Hugo Larochelle
Aaron Courville
LM&Ro
120
103
0
29 Nov 2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive
  Replay
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay
Jake Bruce
Niko Sünderhauf
Piotr Wojciech Mirowski
R. Hadsell
Michael Milford
70
60
0
28 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
75
52
0
20 Nov 2017
Vision-and-Language Navigation: Interpreting visually-grounded
  navigation instructions in real environments
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson
Qi Wu
Damien Teney
Jake Bruce
Mark Johnson
Niko Sünderhauf
Ian Reid
Stephen Gould
Anton Van Den Hengel
LM&Ro
155
1,325
0
20 Nov 2017
Learning to Play Othello with Deep Neural Networks
Learning to Play Othello with Deep Neural Networks
Paweł Liskowski
Wojciech Ja'skowski
K. Krawiec
28
26
0
17 Nov 2017
Acquiring Target Stacking Skills by Goal-Parameterized Deep
  Reinforcement Learning
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
Wenbin Li
Jeannette Bohg
Mario Fritz
41
8
0
01 Nov 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning
Regret Minimization for Partially Observable Deep Reinforcement Learning
Peter H. Jin
Kurt Keutzer
Sergey Levine
80
51
0
31 Oct 2017
DoShiCo Challenge: Domain Shift in Control Prediction
DoShiCo Challenge: Domain Shift in Control Prediction
Klaas Kelchtermans
Tinne Tuytelaars
15
0
0
26 Oct 2017
Consequentialist conditional cooperation in social dilemmas with
  imperfect information
Consequentialist conditional cooperation in social dilemmas with imperfect information
A. Peysakhovich
Adam Lerer
82
65
0
19 Oct 2017
Shared Learning : Enhancing Reinforcement in $Q$-Ensembles
Shared Learning : Enhancing Reinforcement in QQQ-Ensembles
Rakesh R Menon
Balaraman Ravindran
33
0
0
14 Sep 2017
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Riccardo Polvara
Massimiliano Patacchiola
Sanjay K. Sharma
Jian Wan
Andrew Manning
R. Sutton
Angelo Cangelosi
54
48
0
11 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
101
208
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
143
2,830
0
19 Aug 2017
StarCraft II: A New Challenge for Reinforcement Learning
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals
T. Ewalds
Sergey Bartunov
Petko Georgiev
A. Vezhnevets
...
Anthony Brunasso
David Lawrence
Anders Ekermo
J. Repp
Rodney Tsing
98
875
0
16 Aug 2017
Autoencoder-augmented Neuroevolution for Visual Doom Playing
Autoencoder-augmented Neuroevolution for Visual Doom Playing
Samuel Alvernaz
Julian Togelius
86
62
0
12 Jul 2017
Maintaining cooperation in complex social dilemmas using deep
  reinforcement learning
Maintaining cooperation in complex social dilemmas using deep reinforcement learning
Adam Lerer
A. Peysakhovich
129
160
0
04 Jul 2017
ELF: An Extensive, Lightweight and Flexible Research Platform for
  Real-time Strategy Games
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
Yuandong Tian
Qucheng Gong
Wenling Shang
Yuxin Wu
C. L. Zitnick
OffRL
74
126
0
04 Jul 2017
Gated-Attention Architectures for Task-Oriented Language Grounding
Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot
Kanthashree Mysore Sathyendra
Rama Kumar Pasumarthi
Dheeraj Rajagopal
Ruslan Salakhutdinov
LM&Ro
74
280
0
22 Jun 2017
CRNN: A Joint Neural Network for Redundancy Detection
CRNN: A Joint Neural Network for Redundancy Detection
Xinyu Fu
Eugene Ch’ng
U. Aickelin
Simon See
57
35
0
04 Jun 2017
Non-Markovian Control with Gated End-to-End Memory Policy Networks
Non-Markovian Control with Gated End-to-End Memory Policy Networks
J. Perez
T. Silander
OffRL
65
6
0
31 May 2017
End-to-end Active Object Tracking via Reinforcement Learning
End-to-end Active Object Tracking via Reinforcement Learning
Wenhan Luo
Peng Sun
Fangwei Zhong
Wei Liu
Yadong Mu
Yizhou Wang
92
85
0
30 May 2017
Visual Semantic Planning using Deep Successor Representations
Visual Semantic Planning using Deep Successor Representations
Yuke Zhu
Daniel Gordon
Eric Kolve
Dieter Fox
Li Fei-Fei
Abhinav Gupta
Roozbeh Mottaghi
Ali Farhadi
101
142
0
23 May 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
156
2,453
0
15 May 2017
General Video Game AI: Learning from Screen Capture
General Video Game AI: Learning from Screen Capture
Kamolwan Kunanusont
Simon Lucas
Diego Perez-Liebana
52
20
0
23 Apr 2017
A Deep Compositional Framework for Human-like Language Acquisition in
  Virtual Environment
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment
Haonan Yu
Haichao Zhang
Wenyuan Xu
LM&Ro
82
25
0
28 Mar 2017
Neural Map: Structured Memory for Deep Reinforcement Learning
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto
Ruslan Salakhutdinov
88
261
0
27 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
307
1,548
0
25 Jan 2017
Collaborative creativity with Monte-Carlo Tree Search and Convolutional
  Neural Networks
Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks
Memo Akten
M. Grierson
13
0
0
14 Dec 2016
DeepMind Lab
DeepMind Lab
Charlie Beattie
Joel Z Leibo
Denis Teplyashin
Tom Ward
Marcus Wainwright
...
Stephen Gaffney
Helen King
Demis Hassabis
Shane Legg
Stig Petersen
56
241
0
12 Dec 2016
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