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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
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision
  Datasets from 3D Scans
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Ainaz Eftekhar
Alexander Sax
Roman Bachmann
Jitendra Malik
Amir Zamir
MedIm
128
300
0
11 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
315
91
0
27 Sep 2021
Benchmarking the Spectrum of Agent Capabilities
Benchmarking the Spectrum of Agent Capabilities
Danijar Hafner
ELM
103
140
0
14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
86
102
0
14 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
98
84
0
01 Sep 2021
Vision-Language Navigation: A Survey and Taxonomy
Vision-Language Navigation: A Survey and Taxonomy
Wansen Wu
Tao Chang
Xinmeng Li
LM&Ro
58
24
0
26 Aug 2021
Communicative Learning with Natural Gestures for Embodied Navigation
  Agents with Human-in-the-Scene
Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene
Qi Wu
Cheng-Ju Wu
Yixin Zhu
Jungseock Joo
97
14
0
05 Aug 2021
Playtesting: What is Beyond Personas
Playtesting: What is Beyond Personas
Sinan Ariyurek
Elif Surer
Aysu Betin Can
16
5
0
26 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey
High-Accuracy Model-Based Reinforcement Learning, a Survey
Aske Plaat
W. Kosters
Mike Preuss
OffRL
75
37
0
17 Jul 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per
  Second
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko
Erik Wijmans
Brennan Shacklett
V. Koltun
LM&RoVGen
86
24
0
17 Jul 2021
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
Haocheng Ren
Hao Zhang
Jia Zheng
Jiaxiang Zheng
Rui Tang
Yuchi Huo
Hujun Bao
Rui Wang
SyDa3DVVGen
66
4
0
13 Jul 2021
Teaching Agents how to Map: Spatial Reasoning for Multi-Object
  Navigation
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
123
24
0
13 Jul 2021
Explore and Control with Adversarial Surprise
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
73
8
0
12 Jul 2021
Deep Learning for Embodied Vision Navigation: A Survey
Deep Learning for Embodied Vision Navigation: A Survey
Fengda Zhu
Yi Zhu
Vincent CS Lee
Xiaodan Liang
Xiaojun Chang
EgoVLM&Ro
101
0
0
07 Jul 2021
Agents that Listen: High-Throughput Reinforcement Learning with Multiple
  Sensory Systems
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
Shashank Hegde
Anssi Kanervisto
Aleksei Petrenko
VLM
59
9
0
05 Jul 2021
Distilling Reinforcement Learning Tricks for Video Games
Distilling Reinforcement Learning Tricks for Video Games
Anssi Kanervisto
Christian Scheller
Yanick Schraner
Ville Hautamaki
OffRLVLM
41
5
0
01 Jul 2021
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros
  Study
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study
Tianye Shu
Jialin Liu
Georgios N. Yannakakis
94
41
0
30 Jun 2021
Core Challenges in Embodied Vision-Language Planning
Core Challenges in Embodied Vision-Language Planning
Jonathan M Francis
Nariaki Kitamura
Felix Labelle
Xiaopeng Lu
Ingrid Navarro
Jean Oh
LM&Ro
142
48
0
26 Jun 2021
Deep Reinforcement Learning Models Predict Visual Responses in the
  Brain: A Preliminary Result
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result
Maytus Piriyajitakonkij
Sirawaj Itthipuripat
Theerawit Wilaiprasitporn
Nat Dilokthanakul
FAtt
27
2
0
18 Jun 2021
Contrastive Learning of Generalized Game Representations
Contrastive Learning of Generalized Game Representations
C. Trivedi
Antonios Liapis
Georgios N. Yannakakis
OCLSSL
71
13
0
18 Jun 2021
Grounding Complex Navigational Instructions Using Scene Graphs
Grounding Complex Navigational Instructions Using Scene Graphs
Michiel de Jong
Satyapriya Krishna
Anuva Agarwal
LM&Ro
29
0
0
03 Jun 2021
Look Wide and Interpret Twice: Improving Performance on Interactive
  Instruction-following Tasks
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
Van-Quang Nguyen
Masanori Suganuma
Takayuki Okatani
LM&Ro
90
35
0
01 Jun 2021
A Deep Reinforcement Learning Approach to Audio-Based Navigation in a
  Multi-Speaker Environment
A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment
Petros Giannakopoulos
A. Pikrakis
Y. Cotronis
72
7
0
10 May 2021
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language
  Navigation
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
Muhammad Zubair Irshad
Chih-Yao Ma
Z. Kira
LM&Ro
86
50
0
21 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViTVGen
310
513
0
20 Apr 2021
DRL: Deep Reinforcement Learning for Intelligent Robot Control --
  Concept, Literature, and Future
DRL: Deep Reinforcement Learning for Intelligent Robot Control -- Concept, Literature, and Future
Aras R. Dargazany
26
4
0
20 Apr 2021
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement
  Learning
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
Takato Okudo
Seiji Yamada
OffRL
35
21
0
13 Apr 2021
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Tim Pearce
Jun Zhu
86
47
0
09 Apr 2021
Unconstrained Scene Generation with Locally Conditioned Radiance Fields
Unconstrained Scene Generation with Locally Conditioned Radiance Fields
Terrance Devries
Miguel Angel Bautista
Nitish Srivastava
Graham W. Taylor
J. Susskind
119
155
0
01 Apr 2021
Drop-Bottleneck: Learning Discrete Compressed Representation for
  Noise-Robust Exploration
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim
Minjung Kim
Dongyeon Woo
Gunhee Kim
67
17
0
23 Mar 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual
  Navigation
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
Zachary Seymour
Kowshik Thopalli
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
3DPC
69
18
0
21 Mar 2021
Large Batch Simulation for Deep Reinforcement Learning
Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett
Erik Wijmans
Aleksei Petrenko
Manolis Savva
Dhruv Batra
V. Koltun
Kayvon Fatahalian
3DVOffRLAI4CE
88
26
0
12 Mar 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei
Akilesh Badrinaaraayanan
Aaron Courville
Sarath Chandar
CLLOffRL
84
41
0
04 Mar 2021
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with
  Quantization-Aware Training and Adaptive Parallelism
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism
Jenny Yang
Seongmin Hong
Joo-Young Kim
42
18
0
24 Feb 2021
Adversarially Guided Actor-Critic
Adversarially Guided Actor-Critic
Yannis Flet-Berliac
Johan Ferret
Olivier Pietquin
Philippe Preux
Matthieu Geist
73
73
0
08 Feb 2021
Instance-Aware Predictive Navigation in Multi-Agent Environments
Instance-Aware Predictive Navigation in Multi-Agent Environments
Jinkun Cao
Xin Wang
Trevor Darrell
Feng Yu
78
7
0
14 Jan 2021
Modeling Social Interaction for Baby in Simulated Environment for
  Developmental Robotics
Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics
Md Ashaduzzaman Rubel Mondol
Aishwarya Pothula
Deokgun Park
LM&Ro
24
0
0
29 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
142
324
0
25 Dec 2020
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
Saim Wani
Shivansh Patel
Unnat Jain
Angel X. Chang
Manolis Savva
105
107
0
07 Dec 2020
Proximal Policy Optimization Smoothed Algorithm
Proximal Policy Optimization Smoothed Algorithm
Wangshu Zhu
A. Rosendo
8
2
0
04 Dec 2020
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
Alessandro Sestini
A. Kuhnle
Andrew D. Bagdanov
39
6
0
03 Dec 2020
TLeague: A Framework for Competitive Self-Play based Distributed
  Multi-Agent Reinforcement Learning
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Peng Sun
Jiechao Xiong
Lei Han
Xinghai Sun
Shuxing Li
Jiawei Xu
Meng Fang
Zhengyou Zhang
OffRLLRM
73
19
0
25 Nov 2020
Using Unity to Help Solve Intelligence
Using Unity to Help Solve Intelligence
Tom Ward
Andrew Bolt
Nik Hemmings
Simon Carter
Manuel Sanchez
...
Jay Lemmon
J. Coe
Piotr Trochim
T. Handley
Adrian Bolton
58
18
0
18 Nov 2020
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in
  Dynamic Environments
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments
Hyounghun Kim
Abhaysinh Zala
Graham Burri
Hao Tan
Joey Tianyi Zhou
LM&Ro
74
17
0
15 Nov 2020
DeepMind Lab2D
DeepMind Lab2D
C. Beattie
Thomas Koppe
Edgar A. Duénez-Guzmán
Joel Z. Leibo
VLM
76
18
0
13 Nov 2020
Reinforcement Learning with Dual-Observation for General Video Game
  Playing
Reinforcement Learning with Dual-Observation for General Video Game Playing
Chengpeng Hu
Ziqi Wang
Tianye Shu
Hao Tong
Julian Togelius
Xinghu Yao
Jialin Liu
OffRL
54
9
0
11 Nov 2020
Learning Human Search Behavior from Egocentric Visual Inputs
Learning Human Search Behavior from Egocentric Visual Inputs
Maks Sorokin
Wenhao Yu
Sehoon Ha
Chenxi Liu
EgoV
75
3
0
06 Nov 2020
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding
  Proteins
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins
Dimitra N. Panou
M. Reczko
75
3
0
28 Oct 2020
Reward Propagation Using Graph Convolutional Networks
Reward Propagation Using Graph Convolutional Networks
Martin Klissarov
Doina Precup
GNN
54
16
0
06 Oct 2020
PlotThread: Creating Expressive Storyline Visualizations using
  Reinforcement Learning
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning
Tan Tang
Renzhong Li
Xinke Wu
Shuhan Liu
Johannes Knittel
Steffen Koch
Thomas Ertl
Lingyun Yu
Peiran Ren
Yingcai Wu
90
54
0
01 Sep 2020
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