Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

18 August 2020

Papers citing "Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning"

26 / 26 papers shown

Title
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing Benedict Hildisch Edoardo Ghignone Nicolas Baumann Cheng Hu Andrea Carron Michele Magno 34 0 0 12 May 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 54 0 0 24 Apr 2025
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models Nicolas Baumann Cheng Hu Paviththiren Sivasothilingam Haotong Qin Lei Xie Michele Magno Luca Benini 27 1 0 15 Apr 2025
Vision based driving agent for race car simulation environments Gergely Bári László Palkovics 29 1 0 14 Apr 2025
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning Yuanda Wang Xin Yuan Changyin Sun 39 1 0 21 Jun 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay Catherine Weaver Chen Tang Ce Hao Kenta Kawamoto Masayoshi Tomizuka Wei Zhan OffRL 32 0 0 22 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides Paul Daoudi Bogdan Robu Christophe Prieur Ludovic Dos Santos M. Barlier OnRL 28 3 0 21 Feb 2024
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger F. I. F. Richard Yu Luc Van Gool 24 1 0 07 Mar 2023
i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments Yifan Zeng Suiyi He H. Nguyen Yihan Li Zhongyu Li K. Sreenath Jun Zeng 22 0 0 28 Feb 2023
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars Raphael Trumpp Denis Hoornaert Marco Caccamo 35 9 0 14 Feb 2023
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors Boyuan Deng Jian-jun Sun Zhuo Li G. Wang 30 0 0 13 Feb 2023
Outracing Human Racers with Model-based Planning and Control for Time-trial Racing Ce Hao Chen Tang Eric Bergkvist Catherine Weaver Liting Sun Wei Zhan M. Tomizuka 23 2 0 17 Nov 2022
This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis Trent Weiss Madhur Behl 21 1 0 15 Jul 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Linxi Fan Guanzhi Wang Yunfan Jiang Ajay Mandlekar Yuncong Yang Haoyi Zhu Andrew Tang De-An Huang Yuke Zhu Anima Anandkumar LM&Ro 42 348 0 17 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 26 11 0 01 Jun 2022
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach Edoardo Ghignone Nicolas Baumann Mike Boss Michele Magno 31 13 0 19 May 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing Jonathan M Francis Bingqing Chen Siddha Ganju Sidharth Kathpal Jyotish Poonganam ... Ivan Zhukov Max Kumskoy Anirudh Koul Jean Oh Eric Nyberg 11 11 0 05 May 2022
Learning Minimum-Time Flight in Cluttered Environments Robert Pěnička Yunlong Song Elia Kaufmann Davide Scaramuzza 21 50 0 28 Mar 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl V. Krovi Rahul Mangharam 35 212 0 14 Feb 2022
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 8 98 0 23 Nov 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision Bingqing Chen Jonathan M Francis Jean Oh Eric Nyberg Sylvia L. Herbert 56 14 0 14 Oct 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi-An Ma 19 22 0 08 Jul 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 30 37 0 08 Mar 2021
Learning from Simulation, Racing in Reality Eugenio Chisari Alexander Liniger Alisa Rupenyan Luc Van Gool John Lygeros 33 25 0 26 Nov 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 148 408 0 25 Sep 2019
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 76 263 0 07 Jul 2017