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1611.03673
Cited By
Learning to Navigate in Complex Environments
11 November 2016
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
Andrea Banino
Misha Denil
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
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Papers citing
"Learning to Navigate in Complex Environments"
32 / 32 papers shown
Title
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent
Yuci Han
Charles Toth
Alper Yilmaz
83
0
0
20 Mar 2025
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
Steeven Janny
Hervé Poirier
L. Antsfeld
G. Bono
G. Monaci
Boris Chidlovskii
Francesco Giuliari
Alessio Del Bue
Christian Wolf
LM&Ro
114
0
0
11 Mar 2025
Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model
Yaxuan Huang
Xili Dai
Jianan Wang
Xianbiao Qi
Yixing Yuan
Xiangyu Yue
74
0
0
24 Feb 2025
Spatial-aware decision-making with ring attractors in reinforcement learning systems
Marcos Negre Saura
Richard Allmendinger
Theodore Papamarkou
Wei Pan
354
0
0
17 Feb 2025
Navigation World Models
Amir Bar
G. Zhou
Danny Tran
Trevor Darrell
Yann LeCun
VGen
EgoV
106
18
0
04 Dec 2024
From Cognition to Precognition: A Future-Aware Framework for Social Navigation
Zeying Gong
Tianshuai Hu
Ronghe Qiu
Junwei Liang
270
3
0
20 Sep 2024
A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents
Andrew Liu
Alla Borisyuk
88
1
0
03 Jul 2024
Residual-MPPI: Online Policy Customization for Continuous Control
Pengcheng Wang
Chenran Li
Catherine Weaver
Kenta Kawamoto
Masayoshi Tomizuka
Chen Tang
Wei Zhan
OffRL
70
3
0
01 Jul 2024
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
92
10
0
11 Feb 2023
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul
Christos Kaplanis
Nick Pawlowski
Murray Shanahan
52
92
0
18 May 2017
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
L. Tai
Jingwei Zhang
Ming-Yuan Liu
Joschka Boedecker
Wolfram Burgard
OffRL
65
78
0
21 Dec 2016
DeepMind Lab
Charlie Beattie
Joel Z Leibo
Denis Teplyashin
Tom Ward
Marcus Wainwright
...
Stephen Gaffney
Helen King
Demis Hassabis
Shane Legg
Stig Petersen
43
241
0
12 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
43
1,225
0
16 Nov 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
L. Tai
Ming-Yuan Liu
38
103
0
06 Oct 2016
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
63
584
0
18 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
VGen
54
1,516
0
16 Sep 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Y. Zhang
Kibok Lee
Honglak Lee
SSL
65
143
0
21 Jun 2016
Deep Successor Reinforcement Learning
Tejas D. Kulkarni
A. Saeedi
Simanta Gautam
S. Gershman
47
208
0
08 Jun 2016
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information
Yoad Lewenberg
Valliappa Chockalingam
Satinder Singh
Honglak Lee
CVBM
43
304
0
29 May 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler
Shahar Givony
Tom Zahavy
D. Mankowitz
Shie Mannor
CLL
110
378
0
25 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
166
8,805
0
04 Feb 2016
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
399
2,563
0
25 Jan 2016
Recurrent Reinforcement Learning: A Hybrid Approach
Xiujun Li
Lihong Li
Jianfeng Gao
Xiaodong He
Jianshu Chen
Li Deng
Ji He
OffRL
30
77
0
10 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew J. Hausknecht
Peter Stone
86
1,668
0
23 Jul 2015
Massively Parallel Methods for Deep Reinforcement Learning
Arun Nair
Praveen Srinivasan
Sam Blackwell
Cagdas Alcicek
Rory Fearon
...
Stig Petersen
Shane Legg
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
OffRL
AI4CE
GNN
74
504
0
15 Jul 2015
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
67
1,369
0
09 Jul 2015
Language Understanding for Text-based Games Using Deep Reinforcement Learning
Karthik Narasimhan
Tejas D. Kulkarni
Regina Barzilay
OffRL
72
361
0
30 Jun 2015
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffM
BDL
48
258
0
08 Jun 2015
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNN
KELM
127
1,702
0
15 Oct 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
157
4,041
0
09 Jun 2014
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
93
1,008
0
20 Dec 2013
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
167
8,503
0
22 Mar 2013
1