End-to-End Race Driving with Deep Reinforcement Learning

6 July 2018

Papers citing "End-to-End Race Driving with Deep Reinforcement Learning"

21 / 21 papers shown

Title
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning Yuanda Wang Xin Yuan Changyin Sun 47 1 0 21 Jun 2024
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning B. D. Evans H. Engelbrecht H. W. Jordaan 29 19 0 12 Jun 2023
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification Yang Guan Liye Tang Chuanxiao Li Shengbo Eben Li Yangang Ren Junqing Wei Bo Zhang Ke Li 23 0 0 19 Oct 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving Ruiyang Yang Siheng Li Beihong Jin 26 0 0 05 Sep 2022
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars Mingze Wang Ziyang Zhang Grace Hui Yang 29 1 0 21 Jun 2022
Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack Zirui Zang Renukanandan Tumu Johannes Betz Hongrui Zheng Rahul Mangharam 39 11 0 01 Jun 2022
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge Johannes Betz Tobias Betz F. Fent Maximilian Geisslinger Alexander Heilmeier ... Florian Sauerbeck Tim Stahl Rainer Trauth Frederik Werner A. Wischnewski 39 60 0 31 May 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl Venkat Krovi Rahul Mangharam 40 215 0 14 Feb 2022
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles Shengduo Chen Yao Sun Dachuan Li Qiang Wang Qi Hao J. Sifakis 57 15 0 28 Sep 2021
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios Jingliang Duan Yangang Ren Fawang Zhang Yang Guan Dongjie Yu Shengbo Eben Li B. Cheng Lin Zhao 23 7 0 12 Sep 2021
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots Bogdan Trasnea Cosmin Ginerica Mihai V. Zaha G. Macesanu C. Pozna Sorin Grigorescu 27 8 0 02 Jun 2021
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving Jingliang Duan Dongjie Yu Shengbo Eben Li Wenxuan Wang Yangang Ren Ziyu Lin B. Cheng 32 10 0 24 May 2021
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data Adrian Remonda Sarah Krebs Eduardo E. Veas Granit Luzhnica Roman Kern OffRL 34 23 0 22 Apr 2021
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 38 38 0 08 Mar 2021
Sim-to-real reinforcement learning applied to end-to-end vehicle control András Kalapos Csaba Gór Róbert Moni I. Harmati 24 14 0 14 Dec 2020
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space Majid Moghadam Ali Alizadeh Engin Tekin G. Elkaim 19 12 0 26 Nov 2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning Florian Fuchs Yunlong Song Elia Kaufmann Davide Scaramuzza Peter Dürr 26 124 0 18 Aug 2020
Overview of Tools Supporting Planning for Automated Driving Kailin Tong Zlatan Ajanović Georg Stettinger 19 28 0 09 Mar 2020
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 44 205 0 25 Nov 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 24 248 0 29 Jun 2019
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles Sorin Grigorescu Bogdan Trasnea L. Marina Andrei Vasilcoi Tiberiu T. Cocias 38 38 0 26 Jun 2019