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ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing
  the Worst

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

7 December 2018
Mayank Bansal
A. Krizhevsky
A. Ogale
    OOD
ArXivPDFHTML

Papers citing "ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst"

32 / 32 papers shown
Title
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Kumar Manas
Adrian Paschke
75
0
0
13 Feb 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
81
1
0
11 Feb 2025
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM
Tianhui Cai
Yifan Liu
Zewei Zhou
Haoxuan Ma
Seth Z. Zhao
Zhiwen Wu
Jiaqi Ma
90
8
0
07 Oct 2024
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
108
10
0
25 Sep 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Jianye Xu
Pan Hu
Bassam Alrifaee
56
5
0
14 Aug 2024
LCSim: A Large-Scale Controllable Traffic Simulator
LCSim: A Large-Scale Controllable Traffic Simulator
Yuheng Zhang
Tianjian Ouyang
Fudan Yu
Cong Ma
Lei Qiao
Jingtao Ding
Jian Yuan
Yong Li
61
2
0
28 Jun 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
124
6
0
18 Mar 2024
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
192
170
0
04 Oct 2023
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion
  Forecasting with a Single Convolutional Net
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
Wenjie Luo
Binh Yang
R. Urtasun
3DPC
46
620
0
22 Dec 2020
HDNET: Exploiting HD Maps for 3D Object Detection
HDNET: Exploiting HD Maps for 3D Object Detection
Binh Yang
Ming Liang
R. Urtasun
3DPC
3DV
65
320
0
21 Dec 2020
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive
  Strategies for Urban Autonomous Navigation
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation
Xiaoyi Chen
Pratik Chaudhari
63
4
0
17 Aug 2020
Reinforcement Learning with Uncertainty Estimation for Tactical
  Decision-Making in Intersections
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
C. Hoel
Tommy Tram
J. Sjöberg
39
30
0
17 Jun 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
153
119
0
06 Mar 2020
Deep Imitative Models for Flexible Inference, Planning, and Control
Deep Imitative Models for Flexible Inference, Planning, and Control
Nicholas Rhinehart
R. McAllister
Sergey Levine
54
148
0
15 Oct 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
42
267
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
25
186
0
18 Jun 2018
Driving Policy Transfer via Modularity and Abstraction
Driving Policy Transfer via Modularity and Abstraction
Matthias Muller
Alexey Dosovitskiy
Guohao Li
V. Koltun
56
224
0
25 Apr 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
119
5,111
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
98
1,062
0
06 Oct 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
56
1,353
0
28 Aug 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
68
1,357
0
18 May 2017
Explaining How a Deep Neural Network Trained with End-to-End Learning
  Steers a Car
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski
Philip Yeres
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
49
400
0
25 Apr 2017
Virtual to Real Reinforcement Learning for Autonomous Driving
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
OffRL
40
336
0
13 Apr 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
123
244
0
27 Mar 2017
Imitating Driver Behavior with Generative Adversarial Networks
Imitating Driver Behavior with Generative Adversarial Networks
Alex Kuefler
Jeremy Morton
T. Wheeler
Mykel Kochenderfer
GAN
52
405
0
24 Jan 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
67
824
0
04 Dec 2016
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
27
828
0
11 Oct 2016
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep
  Learning from Demonstrations
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations
Michael Laskey
Caleb Chuck
Jonathan Lee
Jeffrey Mahler
S. Krishnan
Kevin Jamieson
Anca Dragan
Ken Goldberg
32
74
0
04 Oct 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
40
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
46
4,153
0
25 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
70
1,757
0
01 May 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
137
3,196
0
02 Nov 2010
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