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1710.02410
Cited By
End-to-end Driving via Conditional Imitation Learning
6 October 2017
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
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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
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
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
Han Qi
Haocheng Yin
Heng Yang
SSL
81
2
0
07 Oct 2024
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
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
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
Xuzhe Dang
Stefan Edelkamp
73
4
0
06 Nov 2023
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
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
66
207
0
25 Nov 2019
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
Alexey Dosovitskiy
V. Koltun
123
280
0
06 Nov 2016
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
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
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
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
60
1,757
0
01 May 2015
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
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
Diederik P. Kingma
Jimmy Ba
ODL
421
149,474
0
22 Dec 2014
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
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
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
105
3,196
0
02 Nov 2010
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