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Learning End-to-end Autonomous Driving using Guided Auxiliary
  Supervision

Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision

30 August 2018
Ashish Mehta
Adithya Subramanian
A. Subramanian
ArXivPDFHTML

Papers citing "Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision"

30 / 30 papers shown
Title
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
193
6
0
18 Mar 2024
End-to-End Model-Free Reinforcement Learning for Urban Driving using
  Implicit Affordances
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
113
208
0
25 Nov 2019
TACO: Learning Task Decomposition via Temporal Alignment for Control
TACO: Learning Task Decomposition via Temporal Alignment for Control
K. Shiarlis
Markus Wulfmeier
Sasha Salter
Shimon Whiteson
Ingmar Posner
54
93
0
02 Mar 2018
Hierarchical Imitation and Reinforcement Learning
Hierarchical Imitation and Reinforcement Learning
Hoang Minh Le
Nan Jiang
Alekh Agarwal
Miroslav Dudík
Yisong Yue
Hal Daumé
56
192
0
01 Mar 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive
  Meta-Learning
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu
Chelsea Finn
Annie Xie
Sudeep Dasari
Tianhao Zhang
Pieter Abbeel
Sergey Levine
62
360
0
05 Feb 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
119
1,040
0
02 Jan 2018
Fast Recurrent Fully Convolutional Networks for Direct Perception in
  Autonomous Driving
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving
Yiqi Hou
Sascha Hornauer
K. Zipser
37
19
0
17 Nov 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
133
5,146
0
10 Nov 2017
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
123
1,066
0
06 Oct 2017
MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving
MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving
Sauhaarda Chowdhuri
T. Pankaj
K. Zipser
29
15
0
16 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn
Tianhe Yu
Tianhao Zhang
Pieter Abbeel
Sergey Levine
SSL
117
561
0
14 Sep 2017
Explainable Artificial Intelligence: Understanding, Visualizing and
  Interpreting Deep Learning Models
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek
Thomas Wiegand
K. Müller
XAI
VLM
68
1,189
0
28 Aug 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
138
2,826
0
15 Jun 2017
Explaining How a Deep Neural Network Trained with End-to-End Learning
  Steers a Car
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski
Philip Yeres
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
69
401
0
25 Apr 2017
One-Shot Imitation Learning
One-Shot Imitation Learning
Yan Duan
Marcin Andrychowicz
Bradly C. Stadie
Jonathan Ho
Jonas Schneider
Ilya Sutskever
Pieter Abbeel
Wojciech Zaremba
OffRL
77
686
0
21 Mar 2017
A Survey of Deep Network Solutions for Learning Control in Robotics:
  From Reinforcement to Imitation
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
89
78
0
21 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
132
825
0
04 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
97
1,228
0
16 Nov 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
91
880
0
11 Nov 2016
Playing FPS Games with Deep Reinforcement Learning
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
83
585
0
18 Sep 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for
  Large-scale Image Classification
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Y. Zhang
Kibok Lee
Honglak Lee
SSL
84
143
0
21 Jun 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
91
4,163
0
25 Apr 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
369
14,223
0
23 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.1K
16,931
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
99
1,762
0
01 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,033
0
30 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
298
18,587
0
06 Feb 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
519
27,263
0
01 Sep 2014
A Convex Formulation for Learning Task Relationships in Multi-Task
  Learning
A Convex Formulation for Learning Task Relationships in Multi-Task Learning
Yu Zhang
Dit-Yan Yeung
106
461
0
15 Mar 2012
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