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Exploring the Limitations of Behavior Cloning for Autonomous Driving

Exploring the Limitations of Behavior Cloning for Autonomous Driving

18 April 2019
Felipe Codevilla
Eder Santana
Antonio M. López
Adrien Gaidon
ArXiv (abs)PDFHTMLGithub (241★)

Papers citing "Exploring the Limitations of Behavior Cloning for Autonomous Driving"

36 / 36 papers shown
Title
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
Zebin Xing
Xinsong Zhang
Yang Hu
Bo Jiang
Tong He
Qian Zhang
Xiaoxiao Long
Wei Yin
106
11
0
07 Mar 2025
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
Ziying Song
Caiyan Jia
Lin Liu
Hongyu Pan
Yanzhe Zhang
Junming Wang
Wei Wei
Shaoqing Xu
Lei Yang
Yadan Luo
106
4
0
05 Mar 2025
A Unifying Framework for Causal Imitation Learning with Hidden Confounders
A Unifying Framework for Causal Imitation Learning with Hidden Confounders
Daqian Shao
Thomas Kleine Buening
Marta Z. Kwiatkowska
CML
98
1
0
11 Feb 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Yue Yang
VGen
138
8
0
20 Jan 2025
Learning Nonverbal Cues in Multiparty Social Interactions for Robotic Facilitators
Learning Nonverbal Cues in Multiparty Social Interactions for Robotic Facilitators
Antonio Lech Martin-Ozimek
Isuru Jayarathne
Su Larb Mon
Jouhyeong Chew
84
0
0
18 Jan 2025
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification
Jordan Thompson
Ronald Koe
Anthony Le
Gabriella Goodman
Daniel S. Brown
Alan Kuntz
140
2
0
17 Jan 2025
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
A. Popov
Alperen Degirmenci
David Wehr
Shashank Hegde
Ryan Oldja
...
David Nistér
Urs Muller
Ruchi Bhargava
Stan Birchfield
Nikolai Smolyanskiy
120
11
0
25 Sep 2024
Enhancing End-to-End Autonomous Driving with Latent World Model
Enhancing End-to-End Autonomous Driving with Latent World Model
Yingyan Li
Lue Fan
Jiawei He
Yuqi Wang
Yuntao Chen
Zhaoxiang Zhang
Tieniu Tan
114
18
0
12 Jun 2024
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
Genjia Liu
Yue Hu
Chenxin Xu
Weibo Mao
Junhao Ge
...
Yifan Lu
Yinda Xu
Junkai Xia
Yafei Wang
Siheng Chen
118
7
0
15 Apr 2024
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
209
6
0
18 Mar 2024
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
291
497
0
31 Dec 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
50
84
0
12 Aug 2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using
  Deep Reinforcement Learning
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
Eivind Meyer
Amalie Heiberg
Adil Rasheed
Omer San
68
74
0
16 Jun 2020
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
134
208
0
25 Nov 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
86
739
0
07 Dec 2018
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal
Sarthak Mittal
A. Baratin
Vinayak Tantia
Matthew Scicluna
Simon Lacoste-Julien
Ioannis Mitliagkas
80
167
0
19 Oct 2018
Rethinking Self-driving: Multi-task Knowledge for Better Generalization
  and Accident Explanation Ability
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability
Zhihao Li
Toshiyuki Motoyoshi
Kazuma Sasaki
T. Ogata
S. Sugano
LRM
45
39
0
28 Sep 2018
On Offline Evaluation of Vision-based Driving Models
On Offline Evaluation of Vision-based Driving Models
Felipe Codevilla
Antonio M. López
V. Koltun
Alexey Dosovitskiy
OffRL
71
103
0
13 Sep 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based
  Self-driving
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
Xiaodan Liang
Tairui Wang
Luona Yang
Eric Xing
58
269
0
10 Jul 2018
Conditional Affordance Learning for Driving in Urban Environments
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer
Nikolay Savinov
Andreas Geiger
48
186
0
18 Jun 2018
End-to-end driving simulation via angle branched network
End-to-end driving simulation via angle branched network
Qing Wang
Long Chen
Wei Tian
34
9
0
19 May 2018
Driving Policy Transfer via Modularity and Abstraction
Driving Policy Transfer via Modularity and Abstraction
Matthias Muller
Alexey Dosovitskiy
Guohao Li
V. Koltun
73
224
0
25 Apr 2018
End-to-End Learning of Driving Models with Surround-View Cameras and
  Route Planners
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
Simon Hecker
Dengxin Dai
Luc Van Gool
84
164
0
27 Mar 2018
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving
Luona Yang
Xiaodan Liang
Tairui Wang
Eric Xing
68
56
0
10 Jan 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
135
5,173
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
131
1,066
0
06 Oct 2017
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
118
1,954
0
19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and
  Open Problems for General Agents
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
83
554
0
18 Sep 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
253
2,328
0
05 Jul 2017
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
150
826
0
04 Dec 2016
Learning a Driving Simulator
Learning a Driving Simulator
Eder Santana
George Hotz
GAN
80
226
0
03 Aug 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
4,170
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
194,020
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
1,765
0
01 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 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
231
3,221
0
02 Nov 2010
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