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End to End Learning for Self-Driving Cars

End to End Learning for Self-Driving Cars

25 April 2016
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
Prasoon Goyal
L. Jackel
Mathew Monfort
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
    SSL
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Papers citing "End to End Learning for Self-Driving Cars"

30 / 30 papers shown
Title
Learning Unified Force and Position Control for Legged Loco-Manipulation
Learning Unified Force and Position Control for Legged Loco-Manipulation
Peiyuan Zhi
Peiyang Li
Jianqin Yin
Baoxiong Jia
Siyuan Huang
52
0
0
27 May 2025
Challenger: Affordable Adversarial Driving Video Generation
Challenger: Affordable Adversarial Driving Video Generation
Zhiyuan Xu
Bohan Li
Huan-ang Gao
Mingju Gao
Yong Chen
Ming-Yuan Liu
Chenxu Yan
Hang Zhao
Shuo Feng
Hao Zhao
AAML
VGen
212
1
0
21 May 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng Xu
92
14
0
20 Feb 2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei
Kanghon Lee
Linjing Li
Jinkyoo Park
OffRL
65
0
0
17 Feb 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
Zhihao Zhang
Ekim Yurtsever
Keith A. Redmill
51
0
0
28 Jan 2025
On the uncertainty principle of neural networks
On the uncertainty principle of neural networks
Jun-Jie Zhang
Dong-xiao Zhang
Jian-Nan Chen
L. Pang
Deyu Meng
84
2
0
17 Jan 2025
iKap: Kinematics-aware Planning with Imperative Learning
iKap: Kinematics-aware Planning with Imperative Learning
Qihang Li
Zhuoqun Chen
Haoze Zheng
Haonan He
Shaoshu Su
Junyi Geng
Chen Wang
Chen Wang
162
4
0
12 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
370
0
0
11 Nov 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
Christopher P. Diehl
Peter Karkus
Sushant Veer
Marco Pavone
Torsten Bertram
363
0
0
13 Oct 2024
Control-oriented Clustering of Visual Latent Representation
Control-oriented Clustering of Visual Latent Representation
Han Qi
Haocheng Yin
Heng Yang
SSL
90
2
0
07 Oct 2024
Online Control-Informed Learning
Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
58
1
0
04 Oct 2024
Robust Offline Imitation Learning from Diverse Auxiliary Data
Robust Offline Imitation Learning from Diverse Auxiliary Data
Udita Ghosh
Dripta S. Raychaudhuri
Jiachen Li
Konstantinos Karydis
Amit K. Roy-Chowdhury
OffRL
60
1
0
04 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
140
2
0
01 Oct 2024
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
A. Datar
Anuj Pokhrel
Mohammad Nazeri
Madhan B. Rao
Chenhui Pan
...
Andre Harrison
Maggie B. Wigness
Philip R. Osteen
Jinwei Ye
Xuesu Xiao
69
0
0
01 Oct 2024
RenderWorld: World Model with Self-Supervised 3D Label
RenderWorld: World Model with Self-Supervised 3D Label
Ziyang Yan
Wenzhen Dong
Yihua Shao
Yuhang Lu
Liu Haiyang
...
Haozhe Wang
Zhe Wang
Yan Wang
Fabio Remondino
Yuexin Ma
3DV
VGen
89
14
0
17 Sep 2024
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Huy-Dung Nguyen
Anass Bairouk
Mirjana Maras
Wei Xiao
Tsun-Hsuan Wang
Patrick Chareyre
Ramin Hasani
Marc Blanchon
Daniela Rus
93
1
0
16 Sep 2024
OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding
OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding
Youjun Zhao
Jiaying Lin
Shuquan Ye
Qianshi Pang
Rynson W. H. Lau
101
1
0
20 Aug 2024
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
Haimin Hu
Jonathan A. DeCastro
Deepak Gopinath
Guy Rosman
Naomi Ehrich Leonard
J. F. Fisac
73
5
0
14 Jun 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
71
12
0
29 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
147
6
0
18 Mar 2024
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu
Manav Mishra
Alec Koppel
Carl E. Busart
Priya Narayan
Dinesh Manocha
Amrit Singh Bedi
Pratap Tokekar
54
4
0
13 Mar 2024
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
75
1
0
22 Jan 2021
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Faith Johnson
Kristin J. Dana
LLMSV
42
11
0
11 Jun 2020
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
Zhicheng Li
Zhihao Li
Xuan Di
Rongye Shi
48
46
0
14 Feb 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
92
207
0
25 Nov 2019
An Abstraction-Based Framework for Neural Network Verification
An Abstraction-Based Framework for Neural Network Verification
Y. Elboher
Justin Emile Gottschlich
Guy Katz
94
124
0
31 Oct 2019
Collision Avoidance in Pedestrian-Rich Environments with Deep
  Reinforcement Learning
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
OffRL
53
171
0
24 Oct 2019
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural
  Networks for Environmental Awareness
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness
Nikolai Smolyanskiy
A. Kamenev
Jeffrey Smith
Stan Birchfield
88
223
0
07 May 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
40
830
0
11 Oct 2016
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for
  Urban Autonomy
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy
Dan Barnes
William P. Maddern
Ingmar Posner
SSeg
59
123
0
05 Oct 2016
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