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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
Robust Visual Domain Randomization for Reinforcement Learning
Robust Visual Domain Randomization for Reinforcement Learning
Reda Bahi Slaoui
W. Clements
Jakob N. Foerster
Sébastien Toth
OOD
62
12
0
23 Oct 2019
Autonomous Industrial Management via Reinforcement Learning:
  Self-Learning Agents for Decision-Making -- A Review
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making -- A Review
L. E. Leal
Magnus Westerlund
A. Chapman
22
0
0
20 Oct 2019
OffWorld Gym: open-access physical robotics environment for real-world
  reinforcement learning benchmark and research
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research
Ashish Kumar
Toby Buckley
John B. Lanier
Qiaozhi Wang
A. Kavelaars
Ilya Kuzovkin
OffRL
81
14
0
18 Oct 2019
Dynamic Attention Networks for Task Oriented Grounding
Dynamic Attention Networks for Task Oriented Grounding
S. Dasgupta
Badri N. Patro
Vinay P. Namboodiri
73
1
0
14 Oct 2019
CATER: A diagnostic dataset for Compositional Actions and TEmporal
  Reasoning
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Rohit Girdhar
Deva Ramanan
112
178
0
10 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable
  Reinforcement Learning
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
Srivatsan Krishnan
Maximilian Lam
Sharad Chitlangia
Zishen Wan
Gabriel Barth-Maron
Aleksandra Faust
Vijay Janapa Reddi
MQ
44
26
0
02 Oct 2019
Language is Power: Representing States Using Natural Language in
  Reinforcement Learning
Language is Power: Representing States Using Natural Language in Reinforcement Learning
Erez Schwartz
Guy Tennenholtz
Chen Tessler
Shie Mannor
117
13
0
02 Oct 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
149
358
0
25 Sep 2019
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Gokul Swamy
S. Reddy
Sergey Levine
Anca Dragan
80
43
0
22 Sep 2019
Model Based Planning with Energy Based Models
Model Based Planning with Energy Based Models
Yilun Du
Toru Lin
Igor Mordatch
97
38
0
15 Sep 2019
The Animal-AI Environment: Training and Testing Animal-Like Artificial
  Cognition
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition
Benjamin Beyret
José Hernández-Orallo
Lucy G. Cheke
Marta Halina
Murray Shanahan
Matthew Crosby
74
35
0
12 Sep 2019
Interactive Fiction Games: A Colossal Adventure
Interactive Fiction Games: A Colossal Adventure
Matthew J. Hausknecht
Prithviraj Ammanabrolu
Marc-Alexandre Côté
Xingdi Yuan
LLMAGLM&RoAI4CE
80
197
0
11 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement
  Learning
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet
Romain Vuillemot
Christian Wolf
HAI
123
36
0
06 Sep 2019
Help, Anna! Visual Navigation with Natural Multimodal Assistance via
  Retrospective Curiosity-Encouraging Imitation Learning
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Khanh Nguyen
Hal Daumé
LM&RoEgoV
232
151
0
04 Sep 2019
A survey on intrinsic motivation in reinforcement learning
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
112
144
0
19 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
120
436
0
11 Aug 2019
Improving Deep Reinforcement Learning in Minecraft with Action Advice
Improving Deep Reinforcement Learning in Minecraft with Action Advice
Spencer Frazier
Mark O. Riedl
84
29
0
02 Aug 2019
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
Gil Avraham
Yan Zuo
Thanuja Dharmasiri
Tom Drummond
72
17
0
31 Jul 2019
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation
  in Virtual Environments
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments
Noriyuki Kojima
Jia Deng
74
17
0
26 Jul 2019
Why Build an Assistant in Minecraft?
Why Build an Assistant in Minecraft?
Arthur Szlam
Jonathan Gray
Kavya Srinet
Yacine Jernite
Armand Joulin
...
Siddharth Goyal
Demi Guo
Dan Rothermel
C. L. Zitnick
Jason Weston
LLMAG
150
29
0
22 Jul 2019
Arena: a toolkit for Multi-Agent Reinforcement Learning
Arena: a toolkit for Multi-Agent Reinforcement Learning
Qing Wang
Jiechao Xiong
Lei Han
Meng Fang
Xinghai Sun
Zhuobin Zheng
Peng Sun
Zhengyou Zhang
59
4
0
20 Jul 2019
Ludii as a Competition Platform
Ludii as a Competition Platform
Matthew Stephenson
Éric Piette
Dennis J. N. J. Soemers
C. Browne
49
12
0
29 Jun 2019
ORRB -- OpenAI Remote Rendering Backend
ORRB -- OpenAI Remote Rendering Backend
Maciek Chociej
Peter Welinder
Lilian Weng
AI4CE
57
11
0
26 Jun 2019
Learning Causal State Representations of Partially Observable
  Environments
Learning Causal State Representations of Partially Observable Environments
Amy Zhang
Zachary Chase Lipton
Luis Villaseñor-Pineda
Kamyar Azizzadenesheli
Anima Anandkumar
Laurent Itti
Joelle Pineau
Tommaso Furlanello
CML
113
51
0
25 Jun 2019
Optimal Use of Experience in First Person Shooter Environments
Optimal Use of Experience in First Person Shooter Environments
Matthew Aitchison
37
2
0
24 Jun 2019
Learning-Driven Exploration for Reinforcement Learning
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama
D. Chang
67
11
0
17 Jun 2019
Does computer vision matter for action?
Does computer vision matter for action?
Brady Zhou
Philipp Krahenbuhl
V. Koltun
LM&Ro
106
107
0
30 May 2019
Coordinated Exploration via Intrinsic Rewards for Multi-Agent
  Reinforcement Learning
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
78
49
0
28 May 2019
Learning Portable Representations for High-Level Planning
Learning Portable Representations for High-Level Planning
Steven D. James
Benjamin Rosman
George Konidaris
SSL
58
40
0
28 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments
Continual Reinforcement Learning in 3D Non-stationary Environments
Vincenzo Lomonaco
Karan Desai
Eugenio Culurciello
Davide Maltoni
OffRL
49
42
0
24 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik Narasimhan
84
33
0
13 May 2019
Graph Attention Memory for Visual Navigation
Graph Attention Memory for Visual Navigation
Dong Li
Qichao Zhang
Dongbin Zhao
Yuzheng Zhuang
Bin Wang
Wulong Liu
Rasul Tutunov
Jun Wang
65
16
0
11 May 2019
Do Autonomous Agents Benefit from Hearing?
Do Autonomous Agents Benefit from Hearing?
Abraham Woubie
Anssi Kanervisto
Janne Karttunen
Ville Hautamaki
50
8
0
10 May 2019
A Complementary Learning Systems Approach to Temporal Difference
  Learning
A Complementary Learning Systems Approach to Temporal Difference Learning
Sam Blakeman
D. Mareschal
46
42
0
07 May 2019
From Video Game to Real Robot: The Transfer between Action Spaces
From Video Game to Real Robot: The Transfer between Action Spaces
Janne Karttunen
Anssi Kanervisto
Ville Kyrki
Ville Hautamaki
81
8
0
02 May 2019
Learning Manipulation under Physics Constraints with Visual Perception
Learning Manipulation under Physics Constraints with Visual Perception
Wenbin Li
A. Leonardis
Jeannette Bohg
Mario Fritz
SSLOCL
31
7
0
19 Apr 2019
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In
  NEAT
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
James Butterworth
Rahul Savani
K. Tuyls
24
3
0
12 Apr 2019
Two Body Problem: Collaborative Visual Task Completion
Two Body Problem: Collaborative Visual Task Completion
Unnat Jain
Luca Weihs
Eric Kolve
Mohammad Rastegari
Svetlana Lazebnik
Ali Farhadi
Alex Schwing
Aniruddha Kembhavi
74
72
0
11 Apr 2019
Multi-Target Embodied Question Answering
Multi-Target Embodied Question Answering
Licheng Yu
Xinlei Chen
Georgia Gkioxari
Joey Tianyi Zhou
Tamara L. Berg
Dhruv Batra
88
107
0
09 Apr 2019
Embodied Question Answering in Photorealistic Environments with Point
  Cloud Perception
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Erik Wijmans
Samyak Datta
Oleksandr Maksymets
Abhishek Das
Georgia Gkioxari
Stefan Lee
Irfan Essa
Devi Parikh
Dhruv Batra
3DPCLM&Ro
90
169
0
06 Apr 2019
Reinforced Imitation in Heterogeneous Action Space
Reinforced Imitation in Heterogeneous Action Space
Konrad Zolna
Negar Rostamzadeh
Yoshua Bengio
Sungjin Ahn
Pedro H. O. Pinheiro
76
11
0
06 Apr 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
K. Ellefsen
J. Tørresen
54
1
0
04 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
OffRLLRM
76
25
0
03 Apr 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
65
26
0
18 Mar 2019
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented
  Learning
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
Xiaofeng Gao
Ran Gong
Tianmin Shu
Xu Xie
Shu Wang
Song-Chun Zhu
67
62
0
13 Mar 2019
Learning to Paint With Model-based Deep Reinforcement Learning
Learning to Paint With Model-based Deep Reinforcement Learning
Zhewei Huang
Wen Heng
Shuchang Zhou
GAN
117
156
0
11 Mar 2019
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang
Alexander Toshev
Li Fei-Fei
Silvio Savarese
OffRL
137
202
0
09 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
75
66
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
79
110
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
79
69
0
01 Mar 2019
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