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Learning to Drive in a Day

Learning to Drive in a Day

1 July 2018
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
ArXivPDFHTML

Papers citing "Learning to Drive in a Day"

50 / 269 papers shown
Title
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Axel Brunnbauer
Luigi Berducci
Andreas Brandstätter
Mathias Lechner
Ramin Hasani
Daniela Rus
Radu Grosu
LM&Ro
30
37
0
08 Mar 2021
Addressing Action Oscillations through Learning Policy Inertia
Addressing Action Oscillations through Learning Policy Inertia
C. L. P. Chen
Hongyao Tang
Jianye Hao
Wulong Liu
Zhaopeng Meng
18
18
0
03 Mar 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half
  Precision
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Johan Bjorck
Xiangyu Chen
Christopher De Sa
Carla P. Gomes
Kilian Q. Weinberger
18
6
0
26 Feb 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies
  in Latent Space
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Wilko Schwarting
Tim Seyde
Igor Gilitschenski
Lucas Liebenwein
Ryan M Sander
S. Karaman
Daniela Rus
BDL
17
37
0
19 Feb 2021
Steadily Learn to Drive with Virtual Memory
Steadily Learn to Drive with Virtual Memory
Yuhang Zhang
Yao Mu
Yujie Yang
Yang Guan
Shengbo Eben Li
Qi Sun
Jianyu Chen
20
1
0
16 Feb 2021
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained
  Autonomous UAVs
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs
Srivatsan Krishnan
Zishen Wan
K. Bharadwaj
P. Whatmough
Aleksandra Faust
Sabrina M. Neuman
Gu-Yeon Wei
David Brooks
Vijay Janapa Reddi
22
3
0
05 Feb 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan
MP3: A Unified Model to Map, Perceive, Predict and Plan
Sergio Casas
Abbas Sadat
R. Urtasun
3DV
11
222
0
18 Jan 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
32
36
0
17 Jan 2021
End-to-end Interpretable Neural Motion Planner
End-to-end Interpretable Neural Motion Planner
Wenyuan Zeng
Wenjie Luo
Simon Suo
Abbas Sadat
Binh Yang
Sergio Casas
R. Urtasun
3DV
22
399
0
17 Jan 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang
Ava Pun
James Tu
S. Manivasagam
Abbas Sadat
Sergio Casas
Mengye Ren
R. Urtasun
28
160
0
16 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
111
126
0
16 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
37
169
0
13 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
82
147
0
06 Jan 2021
Sim-to-real reinforcement learning applied to end-to-end vehicle control
Sim-to-real reinforcement learning applied to end-to-end vehicle control
András Kalapos
Csaba Gór
Róbert Moni
I. Harmati
14
14
0
14 Dec 2020
On-Road Motion Planning for Automated Vehicles at Ulm University
On-Road Motion Planning for Automated Vehicles at Ulm University
Maximilian Graf
O. Speidel
Jona Ruof
Klaus C. J. Dietmayer
16
5
0
07 Dec 2020
Learning from Simulation, Racing in Reality
Learning from Simulation, Racing in Reality
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
27
25
0
26 Nov 2020
Bridging Scene Understanding and Task Execution with Flexible Simulation
  Environments
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments
Zachary Ravichandran
J. D. Griffith
Benjamin Smith
Costas Frost
17
5
0
20 Nov 2020
Deep Reactive Planning in Dynamic Environments
Deep Reactive Planning in Dynamic Environments
Keita Ota
Devesh K. Jha
T. Onishi
Asako Kanezaki
Yusuke Yoshiyasu
Y. Sasaki
T. Mariyama
D. Nikovski
25
6
0
31 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
136
193
0
19 Oct 2020
LaND: Learning to Navigate from Disengagements
LaND: Learning to Navigate from Disengagements
G. Kahn
Pieter Abbeel
Sergey Levine
19
51
0
09 Oct 2020
Computing Systems for Autonomous Driving: State-of-the-Art and
  Challenges
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
Liangkai Liu
Sidi Lu
Ren Zhong
Baofu Wu
Yongtao Yao
Qingyan Zhang
Weisong Shi
12
267
0
30 Sep 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement
  Learning
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs
Yunlong Song
Elia Kaufmann
Davide Scaramuzza
Peter Dürr
10
123
0
18 Aug 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable
  Semantic Representations
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat
Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
3DV
19
190
0
13 Aug 2020
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World
  Reinforcement Learning
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning
A. Viitala
Rinu Boney
Yi Zhao
Alexander Ilin
Juho Kannala
OffRL
6
7
0
03 Aug 2020
Learning Accurate and Human-Like Driving using Semantic Maps and
  Attention
Learning Accurate and Human-Like Driving using Semantic Maps and Attention
Simon Hecker
Dengxin Dai
Alexander Liniger
Luc Van Gool
21
22
0
10 Jul 2020
Falsification-Based Robust Adversarial Reinforcement Learning
Falsification-Based Robust Adversarial Reinforcement Learning
Xiao Wang
Saasha Nair
Matthias Althoff
AAML
11
19
0
01 Jul 2020
Safe Reinforcement Learning via Curriculum Induction
Safe Reinforcement Learning via Curriculum Induction
M. Turchetta
Andrey Kolobov
S. Shah
Andreas Krause
Alekh Agarwal
8
91
0
22 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale
  Empirical Study
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Marcin Andrychowicz
Anton Raichuk
Piotr Stańczyk
Manu Orsini
Sertan Girgin
...
M. Geist
Olivier Pietquin
Marcin Michalski
Sylvain Gelly
Olivier Bachem
OffRL
31
213
0
10 Jun 2020
Stealing Deep Reinforcement Learning Models for Fun and Profit
Stealing Deep Reinforcement Learning Models for Fun and Profit
Kangjie Chen
Shangwei Guo
Tianwei Zhang
Xiaofei Xie
Yang Liu
MLAU
MIACV
OffRL
21
45
0
09 Jun 2020
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end
  Autonomous Driving with Scene Understanding
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
Zhiyu Huang
Chen Lv
Yang Xing
Jingda Wu
4
128
0
19 May 2020
Smooth Exploration for Robotic Reinforcement Learning
Smooth Exploration for Robotic Reinforcement Learning
Antonin Raffin
Jens Kober
F. Stulp
14
57
0
12 May 2020
Guided Policy Search Model-based Reinforcement Learning for Urban
  Autonomous Driving
Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving
Zhuo Xu
Jianyu Chen
M. Tomizuka
9
12
0
06 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,955
0
04 May 2020
VTGNet: A Vision-based Trajectory Generation Network for Autonomous
  Vehicles in Urban Environments
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
Peide Cai
Yuxiang Sun
H. Wang
Ming-Yu Liu
19
47
0
27 Apr 2020
Reinforcement Learning Generalization with Surprise Minimization
Reinforcement Learning Generalization with Surprise Minimization
Jerry Zikun Chen
OOD
19
19
0
26 Apr 2020
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning
  with Uncertainty Estimation
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation
C. Hoel
Krister Wolff
L. Laine
9
44
0
22 Apr 2020
Learning to Evaluate Perception Models Using Planner-Centric Metrics
Learning to Evaluate Perception Models Using Planner-Centric Metrics
Jonah Philion
Amlan Kar
Sanja Fidler
14
68
0
19 Apr 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
23
228
0
13 Mar 2020
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient
  Behavior Planning Of Connected Autonomous Vehicles
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles
Songyang Han
Shangli Zhou
Jiangwei Wang
Lynn Pepin
Caiwen Ding
Jie Fu
Fei Miao
15
22
0
09 Mar 2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
G. Kahn
Pieter Abbeel
Sergey Levine
SSL
16
259
0
13 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,630
0
02 Feb 2020
Integrating Deep Reinforcement Learning with Model-based Path Planners
  for Automated Driving
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving
Ekim Yurtsever
L. Capito
Keith A. Redmill
Ü. Özgüner
9
18
0
02 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
M. Tomizuka
52
224
0
23 Jan 2020
Centralized Cooperation for Connected and Automated Vehicles at
  Intersections by Proximal Policy Optimization
Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
Yang Guan
Yangang Ren
Shengbo Eben Li
Qi Sun
Laiquan Luo
Keqiang Li
6
6
0
18 Dec 2019
Urban Driving with Conditional Imitation Learning
Urban Driving with Conditional Imitation Learning
Jeffrey Hawke
Richard Shen
Corina Gurau
Siddharth Sharma
Daniele Reda
...
Przemyslaw Mazur
Sean Micklethwaite
Nicolas Griffiths
Amar Shah
Alex Kendall
6
147
0
30 Nov 2019
Social Attention for Autonomous Decision-Making in Dense Traffic
Social Attention for Autonomous Decision-Making in Dense Traffic
Edouard Leurent
Jean Pierre Mercat
13
83
0
27 Nov 2019
A selected review on reinforcement learning based control for autonomous
  underwater vehicles
A selected review on reinforcement learning based control for autonomous underwater vehicles
Yachu Hsu
Hui Wu
Keyou You
Shiji Song
11
3
0
27 Nov 2019
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
36
204
0
25 Nov 2019
Improved Exploration through Latent Trajectory Optimization in Deep
  Deterministic Policy Gradient
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
K. Luck
Mel Vecerík
Simon Stepputtis
H. B. Amor
Jonathan Scholz
9
9
0
15 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement
  Learning
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
Praveen Palanisamy
17
142
0
11 Nov 2019
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