ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.03952
  4. Cited By
Virtual to Real Reinforcement Learning for Autonomous Driving

Virtual to Real Reinforcement Learning for Autonomous Driving

13 April 2017
Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
    OffRL
ArXivPDFHTML

Papers citing "Virtual to Real Reinforcement Learning for Autonomous Driving"

40 / 40 papers shown
Title
Autonomous Driving at Unsignalized Intersections: A Review of
  Decision-Making Challenges and Reinforcement Learning-Based Solutions
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
24
1
0
20 Sep 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Weiqin Chen
Sandipan Mishra
Santiago Paternain
OffRL
38
2
0
22 Aug 2024
LaksNet: an end-to-end deep learning model for self-driving cars in
  Udacity simulator
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator
Lakshmikar R. Polamreddy
Youshan Zhang
13
3
0
24 Oct 2023
Safety of autonomous vehicles: A survey on Model-based vs. AI-based
  approaches
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches
Dimia Iberraken
Lounis Adouane
11
1
0
29 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement
  Learning
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
Hang Xu
Xinghua Qu
Zinovi Rabinovich
26
1
0
24 Apr 2023
New Challenges in Reinforcement Learning: A Survey of Security and
  Privacy
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
33
18
0
31 Dec 2022
Imitation Is Not Enough: Robustifying Imitation with Reinforcement
  Learning for Challenging Driving Scenarios
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu
Justin Fu
George Tucker
Xinlei Pan
Eli Bronstein
...
Brandyn White
Aleksandra Faust
Shimon Whiteson
Drago Anguelov
Sergey Levine
OffRL
24
92
0
21 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and
  Recent Results
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results
Sergey Levine
Dhruv Shah
SSL
24
21
0
13 Dec 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
33
58
0
18 Oct 2022
Honor of Kings Arena: an Environment for Generalization in Competitive
  Reinforcement Learning
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
Hua Wei
Jingxiao Chen
Xiyang Ji
Hongyang Qin
Minwen Deng
...
Lin Liu
Lanxiao Huang
Deheng Ye
Qiang Fu
Wei Yang
29
27
0
18 Sep 2022
Data generation using simulation technology to improve perception
  mechanism of autonomous vehicles
Data generation using simulation technology to improve perception mechanism of autonomous vehicles
Minh Cao
R. Ramezani
23
10
0
01 Jul 2022
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object
  Tracking
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking
Zeyu Fang
Jian Zhao
Mingyu Yang
Wen-gang Zhou
Zhenbo Lu
Houqiang Li
25
10
0
22 Feb 2022
Parallelized and Randomized Adversarial Imitation Learning for
  Safety-Critical Self-Driving Vehicles
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles
Won Joon Yun
Myungjae Shin
Soyi Jung
S. Kwon
Joongheon Kim
22
5
0
26 Dec 2021
Learning Interactive Driving Policies via Data-driven Simulation
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang
Alexander Amini
Wilko Schwarting
Igor Gilitschenski
S. Karaman
Daniela Rus
19
20
0
23 Nov 2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and
  Policy Learning for Autonomous Vehicles
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Alexander Amini
Tsun-Hsuan Wang
Igor Gilitschenski
Wilko Schwarting
Zhijian Liu
Song Han
S. Karaman
Daniela Rus
6
97
0
23 Nov 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using
  Policy Gradients
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel
Luca Bergamini
Maciej Wołczyk
Bla.zej Osiñski
Peter Ondruska
25
104
0
27 Sep 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
24
5
0
09 Jul 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
20
399
0
17 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
16
4
0
24 Dec 2020
Reinforcement Learning based Control of Imitative Policies for
  Near-Accident Driving
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Zhangjie Cao
Erdem Biyik
Woodrow Z. Wang
Allan Raventos
Adrien Gaidon
Guy Rosman
Dorsa Sadigh
26
65
0
01 Jul 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
21
30
0
17 Jun 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR
  Control in Active Distribution Networks
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks
Haotian Liu
Wenchuan Wu
OffRL
13
95
0
20 May 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More
  Successful Visual Navigation
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation
M. Moghaddam
Qi Wu
Ehsan Abbasnejad
Javen Qinfeng Shi
12
4
0
07 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
18
228
0
13 Mar 2020
Safe Reinforcement Learning for Autonomous Vehicles through Parallel
  Constrained Policy Optimization
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization
Lu Wen
Jingliang Duan
Shengbo Eben Li
Shaobing Xu
H. Peng
11
68
0
03 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
17
169
0
20 Feb 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
30
506
0
23 Dec 2019
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy
  Learning
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
Albert Zhao
Tong He
Yitao Liang
Haibin Huang
Guy Van den Broeck
Stefano Soatto
9
16
0
06 Dec 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous
  Multi-Lane Driving
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
Rupert Mitchell
Jenny Fletcher
Jacopo Panerati
Amanda Prorok
22
17
0
26 Nov 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for
  Autonomous Driving
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
Zelun Kong
Junfeng Guo
Ang Li
Cong Liu
AAML
27
126
0
09 Jul 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation
  Networks
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
Ziliang Chen
Jingyu Zhuang
Xiaodan Liang
Liang Lin
OOD
22
83
0
08 Jul 2019
Risk Averse Robust Adversarial Reinforcement Learning
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
11
96
0
31 Mar 2019
A Virtual Testbed for Critical Incident Investigation with Autonomous
  Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision
  Support
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support
David L. Smyth
S. Abinesh
Nazli B. Karimi
Brett Drury
I. Ullah
F. Glavin
Michael G. Madden
12
5
0
14 Sep 2018
End to End Vehicle Lateral Control Using a Single Fisheye Camera
End to End Vehicle Lateral Control Using a Single Fisheye Camera
Marin Toromanoff
É. Wirbel
F. Wilhelm
Camilo Vejarano
Xavier Perrotton
Fabien Moutarde
22
39
0
20 Aug 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 P. Xing
19
266
0
10 Jul 2018
A Virtual Environment with Multi-Robot Navigation, Analytics, and
  Decision Support for Critical Incident Investigation
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation
David L. Smyth
J. Fennell
S. Abinesh
Nazli B. Karimi
F. Glavin
I. Ullah
Brett Drury
Michael G. Madden
17
8
0
12 Jun 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Zhang-Wei Hong
Yu-Ming Chen
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
...
Yueh-Chuan Chang
Tsu-Ching Hsiao
Hsin-Wei Hsiao
Sih-Pin Lai
Chun-Yi Lee
19
81
0
01 Feb 2018
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
223
809
0
13 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
171
1,940
0
24 Oct 2016
1