Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

18 July 2021

Yuxuan Liu

Papers citing "Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning"

21 / 21 papers shown

Title
DeepRacing: Parameterized Trajectories for Autonomous Racing Trent Weiss Madhur Behl 58 15 0 06 May 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion Peide Cai Sukai Wang Yuxiang Sun Ming-Yuan Liu 108 70 0 05 May 2020
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments Peide Cai Yuxiang Sun Haoyu Wang Ming-Yuan Liu 92 48 0 27 Apr 2020
High-speed Autonomous Drifting with Deep Reinforcement Learning Peide Cai Xiaodong Mei L. Tai Yuxiang Sun Ming-Yuan Liu 66 111 0 06 Jan 2020
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 103 442 0 07 Oct 2019
A Survey of Autonomous Driving: Common Practices and Emerging Technologies Ekim Yurtsever Jacob Lambert Alexander Carballo K. Takeda 93 1,396 0 12 Jun 2019
AMZ Driverless: The Full Autonomous Racing System Juraj Kabzan M. I. Valls Victor Reijgwart Hubertus Franciscus Cornelis Hendrikx Claas Ehmke ... Abel Gawel Mark Pfeiffer Alexander Liniger John Lygeros Roland Siegwart 65 142 0 13 May 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 142 870 0 01 Mar 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 92 1,449 0 12 Nov 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 126 957 0 04 Sep 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving Xiaodan Liang Tairui Wang Luona Yang Eric Xing 69 270 0 10 Jul 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 108 658 0 01 Jul 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 188 1,005 0 05 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 230 1,284 0 30 May 2018
Optimization-Based Autonomous Racing of 1:43 Scale RC Cars Alexander Liniger A. Domahidi M. Morari 62 490 0 20 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 149 5,219 0 10 Nov 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 140 1,069 0 06 Oct 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 99 669 0 27 Jul 2017
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control Sanket Kamthe M. Deisenroth 158 218 0 20 Jun 2017
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 102 4,179 0 25 Apr 2016
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 261 3,238 0 02 Nov 2010