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Resolving Copycat Problems in Visual Imitation Learning via Residual
  Action Prediction

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction

20 July 2022
Chia-Chi Chuang
Donglin Yang
Chuan Wen
Yang Gao
    SSL
ArXivPDFHTML

Papers citing "Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction"

31 / 31 papers shown
Title
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Chuan Wen
Jianing Qian
Jierui Lin
Jiaye Teng
Dinesh Jayaraman
Yang Gao
AAML
64
18
0
22 Jun 2022
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
Zhejun Zhang
Alexander Liniger
Dengxin Dai
Feng Yu
Luc Van Gool
78
207
0
18 Aug 2021
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
287
504
0
06 Aug 2021
Keyframe-Focused Visual Imitation Learning
Keyframe-Focused Visual Imitation Learning
Chuan Wen
Jierui Lin
Jianing Qian
Yang Gao
Dinesh Jayaraman
VGen
54
18
0
11 Jun 2021
Learning to drive from a world on rails
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
133
121
0
03 May 2021
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Jonathan Spencer
Sanjiban Choudhury
Arun Venkatraman
Brian Ziebart
J. Andrew Bagnell
CML
136
80
0
04 Feb 2021
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Chuan Wen
Jierui Lin
Trevor Darrell
Dinesh Jayaraman
Yang Gao
49
57
0
28 Oct 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
201
2,048
0
16 Apr 2020
Tracking Objects as Points
Tracking Objects as Points
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
VOT
3DPC
74
1,059
0
02 Apr 2020
Learning by Cheating
Learning by Cheating
Dian Chen
Brady Zhou
V. Koltun
Philipp Krahenbuhl
SSL
91
515
0
27 Dec 2019
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven
Hung-Yu kao
AAML
85
454
0
17 Jul 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization
Deep Drone Racing: From Simulation to Reality with Domain Randomization
Antonio Loquercio
Elia Kaufmann
René Ranftl
Alexey Dosovitskiy
V. Koltun
Davide Scaramuzza
69
210
0
21 May 2019
Monocular Plan View Networks for Autonomous Driving
Monocular Plan View Networks for Autonomous Driving
Dequan Wang
Coline Devin
Qi-Zhi Cai
Philipp Krahenbuhl
Trevor Darrell
67
82
0
16 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Felipe Codevilla
Eder Santana
Antonio M. López
Adrien Gaidon
46
543
0
18 Apr 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
129
1,237
0
04 Feb 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing
  the Worst
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal
A. Krizhevsky
A. Ogale
OOD
84
739
0
07 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
100
2,668
0
29 Nov 2018
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
83
844
0
16 Nov 2018
Recognition in Terra Incognita
Recognition in Terra Incognita
Sara Beery
Grant Van Horn
Pietro Perona
92
847
0
13 Jul 2018
Truncated Horizon Policy Search: Combining Reinforcement Learning &
  Imitation Learning
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning
Wen Sun
J. Andrew Bagnell
Byron Boots
106
94
0
29 May 2018
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
5,166
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
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
493
19,019
0
20 Jul 2017
DART: Noise Injection for Robust Imitation Learning
DART: Noise Injection for Robust Imitation Learning
Michael Laskey
Jonathan Lee
Roy Fox
Anca Dragan
Ken Goldberg
191
246
0
27 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential
  Prediction
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun
Arun Venkatraman
Geoffrey J. Gordon
Byron Boots
J. Andrew Bagnell
127
235
0
03 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
297
20,003
0
07 Oct 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 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
100
4,167
0
25 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,767
0
19 Feb 2015
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
216
3,216
0
02 Nov 2010
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