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Towards real-world navigation with deep differentiable planners

Towards real-world navigation with deep differentiable planners

8 August 2021
Shu Ishida
João F. Henriques
    OffRL
ArXivPDFHTML

Papers citing "Towards real-world navigation with deep differentiable planners"

31 / 31 papers shown
Title
Capability Iteration Network for Robot Path Planning
Capability Iteration Network for Robot Path Planning
Buqing Nie
Yue Gao
Yi Mei
Feng Gao
3DV
25
7
0
29 Apr 2021
End-to-End Egospheric Spatial Memory
End-to-End Egospheric Spatial Memory
Daniel Lenton
Stephen James
R. Clark
Andrew J. Davison
35
5
0
15 Feb 2021
Semantic MapNet: Building Allocentric Semantic Maps and Representations
  from Egocentric Views
Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views
Vincent Cartillier
Zhile Ren
Neha Jain
Stefan Lee
Irfan Essa
Dhruv Batra
3DPC
73
74
0
02 Oct 2020
Object Goal Navigation using Goal-Oriented Semantic Exploration
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot
Dhiraj Gandhi
Abhinav Gupta
Ruslan Salakhutdinov
92
516
0
01 Jul 2020
Learning to Explore using Active Neural SLAM
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot
Dhiraj Gandhi
Saurabh Gupta
Abhinav Gupta
Ruslan Salakhutdinov
62
514
0
10 Apr 2020
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
121
1,356
0
03 Dec 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
95
952
0
19 Jun 2019
Value Iteration Networks on Multiple Levels of Abstraction
Value Iteration Networks on Multiple Levels of Abstraction
Daniel Schleich
Tobias Klamt
Sven Behnke
43
19
0
27 May 2019
Habitat: A Platform for Embodied AI Research
Habitat: A Platform for Embodied AI Research
Manolis Savva
Abhishek Kadian
Oleksandr Maksymets
Yili Zhao
Erik Wijmans
...
Jia-Wei Liu
V. Koltun
Jitendra Malik
Devi Parikh
Dhruv Batra
LM&Ro
115
1,407
0
02 Apr 2019
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
127
861
0
01 Mar 2019
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
88
1,437
0
12 Nov 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning via Meta-Policy Optimization
I. Clavera
Jonas Rothfuss
John Schulman
Yasuhiro Fujita
Tamim Asfour
Pieter Abbeel
72
228
0
14 Sep 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
117
798
0
18 Jul 2018
Gated Path Planning Networks
Gated Path Planning Networks
Lisa Lee
Emilio Parisotto
Devendra Singh Chaplot
Eric Xing
Ruslan Salakhutdinov
114
83
0
17 Jun 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
481
1,731
0
06 Jun 2018
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
68
383
0
01 Mar 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
499
19,065
0
20 Jul 2017
Value Prediction Network
Value Prediction Network
Junhyuk Oh
Satinder Singh
Honglak Lee
77
333
0
11 Jul 2017
QMDP-Net: Deep Learning for Planning under Partial Observability
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus
David Hsu
Wee Sun Lee
PINN
93
156
0
20 Mar 2017
Neural Map: Structured Memory for Deep Reinforcement Learning
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto
Ruslan Salakhutdinov
73
260
0
27 Feb 2017
A Dataset for Developing and Benchmarking Active Vision
A Dataset for Developing and Benchmarking Active Vision
Phil Ammirato
Patrick Poirson
Eunbyung Park
Jana Kosecka
Alexander C. Berg
VLM
ObjD
118
186
0
27 Feb 2017
Cognitive Mapping and Planning for Visual Navigation
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta
Varun Tolani
James Davidson
Sergey Levine
Rahul Sukthankar
Jitendra Malik
86
714
0
13 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
484
14,320
0
02 Dec 2016
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
95
880
0
11 Nov 2016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
345
5,445
0
20 Oct 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 Jun 2016
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
76
653
0
09 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
197
8,859
0
04 Feb 2016
Deep Recurrent Q-Learning for Partially Observable MDPs
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew J. Hausknecht
Peter Stone
108
1,679
0
23 Jul 2015
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
157
4,942
0
23 Mar 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
220
3,221
0
02 Nov 2010
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