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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
Planning in Hierarchical Reinforcement Learning: Guarantees for Using
  Local Policies
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies
Tom Zahavy
Avinatan Hassidim
Haim Kaplan
Yishay Mansour
OffRL
67
7
0
26 Feb 2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal
  Reinforcement Learning
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
Harris Chan
Yuhuai Wu
J. Kiros
Sanja Fidler
Jimmy Ba
99
34
0
12 Feb 2019
Embodied Multimodal Multitask Learning
Embodied Multimodal Multitask Learning
Devendra Singh Chaplot
Lisa Lee
Ruslan Salakhutdinov
Devi Parikh
Dhruv Batra
LM&Ro
96
24
0
04 Feb 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
75
144
0
04 Feb 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory
  GANs
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
Himanshu Sahni
Toby Buckley
Pieter Abbeel
Ilya Kuzovkin
65
10
0
31 Jan 2019
Never Forget: Balancing Exploration and Exploitation via Learning
  Optical Flow
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow
Hsuan-Kung Yang
Po-Han Chiang
Kuan-Wei Ho
Min-Fong Hong
Chun-Yi Lee
45
7
0
24 Jan 2019
How do Mixture Density RNNs Predict the Future?
How do Mixture Density RNNs Predict the Future?
K. Ellefsen
Charles Patrick Martin
J. Tørresen
53
13
0
23 Jan 2019
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Chih-Yao Ma
Jiasen Lu
Zuxuan Wu
G. Al-Regib
Z. Kira
R. Socher
Caiming Xiong
LM&Ro
94
278
0
10 Jan 2019
What Should I Do Now? Marrying Reinforcement Learning and Symbolic
  Planning
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning
Daniel Gordon
Dieter Fox
Ali Farhadi
70
20
0
06 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample
  Efficiency for Learning Visuomotor Policies
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Alexander Sax
Bradley Emi
Amir Zamir
Leonidas Guibas
Silvio Savarese
Jitendra Malik
SSL
77
16
0
31 Dec 2018
Learn to Interpret Atari Agents
Learn to Interpret Atari Agents
Zhao Yang
S. Bai
Li Zhang
Philip Torr
80
29
0
29 Dec 2018
Pre-training with Non-expert Human Demonstration for Deep Reinforcement
  Learning
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning
G. V. D. L. Cruz
Yunshu Du
Matthew E. Taylor
OffRL
43
26
0
21 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro
Subhodeep Moitra
Carles Gelada
Saurabh Kumar
Marc G. Bellemare
OffRL
79
279
0
14 Dec 2018
Vision-based Navigation with Language-based Assistance via Imitation
  Learning with Indirect Intervention
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
Khanh Nguyen
Debadeepta Dey
Chris Brockett
W. Dolan
LM&Ro
98
132
0
10 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
OffRLAI4CE
170
1,273
0
30 Nov 2018
Environments for Lifelong Reinforcement Learning
Environments for Lifelong Reinforcement Learning
Khimya Khetarpal
Shagun Sodhani
A. Chandar
Doina Precup
OffRLCLL
78
8
0
26 Nov 2018
Assessing Generalization in Deep Reinforcement Learning
Assessing Generalization in Deep Reinforcement Learning
Charles Packer
Katelyn Gao
Jernej Kos
Philipp Krahenbuhl
V. Koltun
Basel Alomair
OffRL
124
238
0
29 Oct 2018
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language
  Learning
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Salem Lahlou
Lucas Willems
Chitwan Saharia
Thien Huu Nguyen
Yoshua Bengio
ELM
126
241
0
18 Oct 2018
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
75
271
0
04 Oct 2018
Using State Predictions for Value Regularization in Curiosity Driven
  Deep Reinforcement Learning
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning
Gino Brunner
Manuel Fritsche
Oliver Richter
Roger Wattenhofer
40
7
0
30 Sep 2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in
  the Full Game
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Peng Sun
Xinghai Sun
Lei Han
Jiechao Xiong
Qing Wang
...
Yang Zheng
Ji Liu
Yongsheng Liu
Han Liu
Tong Zhang
99
75
0
19 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
68
29
0
11 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels
ViZDoom Competitions: Playing Doom from Pixels
Marek Wydmuch
Michal Kempka
Wojciech Ja'skowski
56
119
0
10 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Michal Garmulewicz
Henryk Michalewski
Piotr Milos
65
8
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
87
821
0
07 Sep 2018
Recurrent World Models Facilitate Policy Evolution
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDaTPM
126
957
0
04 Sep 2018
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement
  Learning
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning
Hugo Caselles-Dupré
Louis Annabi
Oksana Hagen
Michael Garcia Ortiz
David Filliat
80
13
0
03 Sep 2018
Gibson Env: Real-World Perception for Embodied Agents
Gibson Env: Real-World Perception for Embodied Agents
F. Xia
Amir Zamir
Zhi-Yang He
Alexander Sax
Jitendra Malik
Silvio Savarese
AI4CELM&Ro
96
830
0
31 Aug 2018
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset
NavigationNet: A Large-scale Interactive Indoor Navigation Dataset
He Huang
Yujing Shen
Jiankai Sun
Cewu Lu
3DV
53
2
0
25 Aug 2018
End-to-end Active Object Tracking and Its Real-world Deployment via
  Reinforcement Learning
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning
Wenhan Luo
Peng Sun
Fangwei Zhong
Wen Liu
Tong Zhang
Yizhou Wang
68
126
0
10 Aug 2018
ToriLLE: Learning Environment for Hand-to-Hand Combat
ToriLLE: Learning Environment for Hand-to-Hand Combat
Anssi Kanervisto
Ville Hautamaki
62
2
0
26 Jul 2018
On Evaluation of Embodied Navigation Agents
On Evaluation of Embodied Navigation Agents
Peter Anderson
Angel X. Chang
Devendra Singh Chaplot
Alexey Dosovitskiy
Saurabh Gupta
...
Jana Kosecka
Jitendra Malik
Roozbeh Mottaghi
Manolis Savva
Amir Zamir
127
806
0
18 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning
End-to-End Race Driving with Deep Reinforcement Learning
M. Jaritz
Raoul de Charette
Marin Toromanoff
E. Perot
F. Nashashibi
60
169
0
06 Jul 2018
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks
Georgios Papoudakis
Kyriakos C. Chatzidimitriou
P. Mitkas
51
8
0
05 Jul 2018
TextWorld: A Learning Environment for Text-based Games
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté
Ákos Kádár
Xingdi Yuan
Ben A. Kybartas
Tavian Barnes
...
Matthew J. Hausknecht
Layla El Asri
Mahmoud Adada
Wendy Tay
Adam Trischler
LLMAG
58
372
0
29 Jun 2018
Illuminating Generalization in Deep Reinforcement Learning through
  Procedural Level Generation
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen
R. Torrado
Philip Bontrager
Ahmed Khalifa
Julian Togelius
S. Risi
169
186
0
28 Jun 2018
Gated Path Planning Networks
Gated Path Planning Networks
Lisa Lee
Emilio Parisotto
Devendra Singh Chaplot
Eric Xing
Ruslan Salakhutdinov
133
83
0
17 Jun 2018
Task-Relevant Object Discovery and Categorization for Playing
  First-person Shooter Games
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games
Junchi Liang
Abdeslam Boularias
36
2
0
17 Jun 2018
Mix&Match - Agent Curricula for Reinforcement Learning
Mix&Match - Agent Curricula for Reinforcement Learning
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Max Jaderberg
Leonard Hasenclever
Yee Whye Teh
Simon Osindero
N. Heess
Razvan Pascanu
74
72
0
05 Jun 2018
TD or not TD: Analyzing the Role of Temporal Differencing in Deep
  Reinforcement Learning
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
Artemij Amiranashvili
Alexey Dosovitskiy
V. Koltun
Thomas Brox
OffRL
58
19
0
04 Jun 2018
A new dataset and model for learning to understand navigational
  instructions
A new dataset and model for learning to understand navigational instructions
Ozan Arkan Can
Deniz Yuret
68
1
0
21 May 2018
Nonlinear Distributional Gradient Temporal-Difference Learning
Nonlinear Distributional Gradient Temporal-Difference Learning
Chao Qu
Shie Mannor
Huan Xu
78
12
0
20 May 2018
Approximate Bayesian inference in spatial environments
Approximate Bayesian inference in spatial environments
Atanas Mirchev
Baris Kayalibay
Maximilian Soelch
Patrick van der Smagt
Justin Bayer
BDL
139
22
0
18 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial
  Imitation Learning
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning
Tharindu Fernando
Simon Denman
Sridha Sridharan
Clinton Fookes
GAN
75
26
0
13 May 2018
Deep Reinforcement Learning for Playing 2.5D Fighting Games
Deep Reinforcement Learning for Playing 2.5D Fighting Games
Yu-Jhe Li
Hsin-Yu Chang
Yu-Jing Lin
Po-Wei Wu
Y. Wang
GAN
28
5
0
05 May 2018
Crawling in Rogue's dungeons with (partitioned) A3C
Crawling in Rogue's dungeons with (partitioned) A3C
Andrea Asperti
Daniele Cortesi
Francesco Sovrano
58
12
0
23 Apr 2018
Attention Based Natural Language Grounding by Navigating Virtual
  Environment
Attention Based Natural Language Grounding by Navigating Virtual Environment
B. Akilesh
Abhishek Sinha
Mausoom Sarkar
Balaji Krishnamurthy
LM&Ro
38
11
0
23 Apr 2018
Robust Dual View Deep Agent
Robust Dual View Deep Agent
Ibrahim Sobh
N. Darwish
66
2
0
13 Apr 2018
Learning to Navigate in Cities Without a Map
Learning to Navigate in Cities Without a Map
Piotr Wojciech Mirowski
Matthew Koichi Grimes
Mateusz Malinowski
Karl Moritz Hermann
Keith Anderson
Denis Teplyashin
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
SSLHAI
103
320
0
31 Mar 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
178
1,102
0
27 Mar 2018
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