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End-to-end Driving via Conditional Imitation Learning

End-to-end Driving via Conditional Imitation Learning

6 October 2017
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
ArXivPDFHTML

Papers citing "End-to-end Driving via Conditional Imitation Learning"

23 / 23 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
92
7
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
77
3
0
05 Mar 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
Zhihao Zhang
Ekim Yurtsever
Keith A. Redmill
44
0
0
28 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
110
10
0
28 Jan 2025
Control-oriented Clustering of Visual Latent Representation
Control-oriented Clustering of Visual Latent Representation
Han Qi
Haocheng Yin
Heng Yang
SSL
81
2
0
07 Oct 2024
Predictive Coding for Decision Transformer
Predictive Coding for Decision Transformer
Tung M. Luu
Donghoon Lee
Chang D. Yoo
OffRL
71
2
0
04 Oct 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
81
7
0
15 Apr 2024
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
Ruihua Han
Shuai Wang
Shuaijun Wang
Zeqing Zhang
Jianjun Chen
...
Chengyang Li
Chengzhong Xu
Yonina C. Eldar
Qi Hao
Jia Pan
3DPC
59
3
0
11 Mar 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
Xuzhe Dang
Stefan Edelkamp
73
4
0
06 Nov 2023
Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation
Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation
Heecheol Kim
Yoshiyuki Ohmura
Yasuo Kuniyoshi
48
27
0
18 Mar 2022
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
66
207
0
25 Nov 2019
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
115
5,111
0
10 Nov 2017
Learning to Act by Predicting the Future
Learning to Act by Predicting the Future
Alexey Dosovitskiy
V. Koltun
123
280
0
06 Nov 2016
A Survey of Motion Planning and Control Techniques for Self-driving
  Urban Vehicles
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles
B. Paden
Michal Cap
Sze Zheng Yong
Dmitry S. Yershov
Emilio Frazzoli
29
2,017
0
25 Apr 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
34
4,153
0
25 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
41
1,130
0
20 Apr 2016
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
60
1,757
0
01 May 2015
Shared Autonomy via Hindsight Optimization
Shared Autonomy via Hindsight Optimization
Shervin Javdani
S. Srinivasa
J. Andrew Bagnell
22
195
0
26 Mar 2015
Learning Models for Following Natural Language Directions in Unknown
  Environments
Learning Models for Following Natural Language Directions in Unknown Environments
Sachithra Hemachandra
Felix Duvallet
T. Howard
Nicholas Roy
A. Stentz
Matthew R. Walter
LM&Ro
39
91
0
17 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
421
149,474
0
22 Dec 2014
Learning Monocular Reactive UAV Control in Cluttered Natural
  Environments
Learning Monocular Reactive UAV Control in Cluttered Natural Environments
Stéphane Ross
Narek Melik-Barkhudarov
Kumar Shaurya Shankar
Andreas Wendel
Debadeepta Dey
J. Andrew Bagnell
M. Hebert
55
437
0
07 Nov 2012
Learning Parameterized Skills
Learning Parameterized Skills
Bruno C. da Silva
George Konidaris
A. Barto
64
207
0
27 Jun 2012
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
105
3,196
0
02 Nov 2010
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