Jingke Wang

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ End to End Learning for Self-Driving Cars 2016 Mariusz Bojarski
Davide Del Testa
Daniel Dworakowski
Bernhard Firner
Beat Flepp
Prasoon Goyal
Lawrence D. Jackel
Mathew Monfort
Urs MĂŒller
Jiakai Zhang
4
+ PDF Chat CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving 2018 Xiaodan Liang
Tairui Wang
Luona Yang
Eric P. Xing
4
+ Baidu Apollo EM Motion Planner 2018 Haoyang Fan
Fan Zhu
Changchun Liu
Liangliang Zhang
Zhuang Li
Dong Li
Weicheng Zhu
Jiangtao Hu
Hongye Li
Qi Kong
4
+ Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability 2018 Zhihao Li
T. Motoyoshi
Kazuma Sasaki
Tetsuya Ogata
Shigeki Sugano
4
+ PDF Chat DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving 2015 Chenyi Chen
Ari Seff
Alain L. Kornhauser
Jianxiong Xiao
4
+ PDF Chat A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles 2016 B. Paden
Michal Čáp
Sze Zheng Yong
Dmitry Yershov
Emilio Frazzoli
4
+ PDF Chat End-to-End Driving Via Conditional Imitation Learning 2018 Felipe Codevilla
Matthias MĂŒller
Antonio M. LĂłpez
Vladlen Koltun
Alexey Dosovitskiy
4
+ PDF Chat Exploring the Limitations of Behavior Cloning for Autonomous Driving 2019 Felipe Codevilla
Eder Santana
Antonio M. LĂłpez
Adrien Gaidon
4
+ Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making 2018 Jingchu Liu
Pengfei Hou
Lisen Mu
Yinan Yu
Chang Huang
2
+ CARLA: An Open Urban Driving Simulator 2017 Alexey Dosovitskiy
GermĂĄn Ros
Felipe Codevilla
Antonio M. LĂłpez
Vladlen Koltun
2
+ Conditional Affordance Learning for Driving in Urban Environments 2018 Axel Sauer
Nikolay Savinov
Andreas Geiger
2
+ Agile Autonomous Driving using End-to-End Deep Imitation Learning 2018 Yunpeng Pan
Ching-An Cheng
Kamil Saigol
Keuntaek Lee
Xinyan Yan
Evangelos A. Theodorou
Byron Boots
2
+ Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay 2016 Ionel-Alexandru Hosu
Traian Rebedea
2
+ A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning 2010 Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
2
+ PDF Chat Safe Trajectory Generation for Complex Urban Environments Using Spatio-Temporal Semantic Corridor 2019 Wenchao Ding
Lu Zhang
Jing Chen
Shaojie Shen
2
+ PDF Chat Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy 2017 Dan Barnes
Will Maddern
Ingmar Posner
2
+ PDF Chat Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning 2018 David Isele
Reza Rahimi
Akansel Cosgun
K.A. Subramanian
Kikuo Fujimura
2
+ PDF Chat HG-DAgger: Interactive Imitation Learning with Human Experts 2019 Michael A. Kelly
Chelsea Sidrane
Katherine Driggs-Campbell
Mykel J. Kochenderfer
2
+ LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. 2019 Albert Zhao
Tong He
Yitao Liang
Haibin Huang
Guy Van den Broeck
Stefano Soatto
2
+ PDF Chat End-to-End Learning of Driving Models from Large-Scale Video Datasets 2017 Huazhe Xu
Yang Gao
Fisher Yu
Trevor Darrell
2
+ PDF Chat DeepGoal: Learning to drive with driving intention from human control demonstration 2020 Huifang Ma
Yue Wang
Rong Xiong
Sarath Kodagoda
Li Tang
2
+ PDF Chat A Survey of Deep Learning Applications to Autonomous Vehicle Control 2020 Sampo Kuutti
Richard Bowden
Yaochu Jin
Phil Barber
Saber Fallah
2
+ End-to-End Deep Reinforcement Learning for Lane Keeping Assist 2016 Ahmad El Sallab
Mohammed Abdou
Etienne PĂ©rot
Senthil Yogamani
2
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
2
+ PDF Chat The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset 2020 Dan Barnes
Matthew Gadd
Paul Murcutt
Paul Newman
Ingmar Posner
2
+ PDF Chat VTGNet: A Vision-Based Trajectory Generation Network for Autonomous Vehicles in Urban Environments 2020 Peide Cai
Yuxiang Sun
Hengli Wang
Ming Liu
2
+ CARLA: An Open Urban Driving Simulator 2017 Alexey Dosovitskiy
GermĂĄn Ros
Felipe Codevilla
Antonio M. LĂłpez
Vladlen Koltun
2
+ PDF Chat Deep Reinforcement Learning framework for Autonomous Driving 2017 Ahmad El Sallab
Mohammed Abdou
Etienne PĂ©rot
Senthil Yogamani
2
+ Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm 2017 David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
Arthur Guez
Marc Lanctot
Laurent Sifre
Dharshan Kumaran
Thore Graepel
2
+ Deep Reinforcement Learning for Autonomous Driving 2018 Sen Wang
Daoyuan Jia
Xinshuo Weng
1
+ Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving 2016 Shai Shalev‐Shwartz
Shaked Shammah
Amnon Shashua
1
+ End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception 2018 Zhengyuan Yang
Yixuan Zhang
Jerry Yu
Junjie Cai
Jiebo Luo
1
+ PDF Chat Deep Q-learning From Demonstrations 2018 Todd Hester
Matej VecerĂ­k
Olivier Pietquin
Marc Lanctot
Tom Schaul
Bilal Piot
Dan Horgan
John Quan
Andrew Sendonaris
Ian Osband
1
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
1
+ PDF Chat Deep Reinforcement Learning for autonomous driving 2019 Marin Toromanoff
Émilie Wirbel
Fabien Moutarde
1
+ Learning by Cheating 2019 Dian Chen
Brady Zhou
Vladlen Koltun
Philipp KrĂ€henbĂŒhl
1
+ Learning hierarchical behavior and motion planning for autonomous driving 2020 Jingke Wang
Yue Wang
Dongkun Zhang
Yezhou Yang
Rong Xiong
1
+ Implicit Neural Representations with Periodic Activation Functions 2020 Vincent Sitzmann
Julien Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
1
+ SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning 2019 Albert Zhao
Tong He
Yitao Liang
Haibin Huang
Guy Van den Broeck
Stefano Soatto
1
+ Implicit Neural Representations with Periodic Activation Functions 2020 Vincent Sitzmann
Julien Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
1
+ PDF Chat Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory 2021 Yunkai Wang
Dongkun Zhang
Jingke Wang
Zexi Chen
Yuehua Li
Yue Wang
Rong Xiong
1
+ Implicit Neural Representations with Periodic Activation Functions 2020 Vincent Sitzmann
Julien Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
1
+ Playing Atari with Deep Reinforcement Learning 2013 Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
1
+ Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving 2016 Shai Shalev‐Shwartz
Shaked Shammah
Amnon Shashua
1
+ A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning 2010 Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
1