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"

50 / 69 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 36 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 60 1 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 35 1 0 15 Apr 2025
Vision based driving agent for race car simulation environments Gergely Bári László Palkovics 37 1 0 14 Apr 2025
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 Hojoon Lee Takuma Seno Jun Jet Tai K. Subramanian Kenta Kawamoto Peter Stone Peter R. Wurman 26 0 0 12 Apr 2025
On learning racing policies with reinforcement learning Grzegorz Czechmanowski Jan Węgrzynowski Piotr Kicki Krzysztof Walas 46 0 0 03 Apr 2025
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning Lachlan Mares Stefan Podgorski Ian Reid 25 0 0 24 Oct 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey Ruiqi Zhang Jing Hou Florian Walter Shangding Gu Jiayi Guan Florian Röhrbein Yali Du Panpan Cai G. Chen Alois Knoll 49 13 0 19 Aug 2024
A Benchmark Environment for Offline Reinforcement Learning in Racing Games Girolamo Macaluso Alessandro Sestini Andrew D. Bagdanov OffRL 32 0 0 12 Jul 2024
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning Yuanda Wang Xin Yuan Changyin Sun 42 1 0 21 Jun 2024
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo Miguel Vasco Takuma Seno Kenta Kawamoto K. Subramanian Peter R. Wurman Peter Stone 51 6 0 18 Jun 2024
Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study Frederik Werner René Oberhuber Johannes Betz 66 3 0 04 May 2024
Trajectory Planning using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios Levent Ogretmen Mo Chen Phillip Pitschi Boris Lohmann 53 1 0 16 Apr 2024
Iterative Active-Inactive Obstacle Classification for Time-Optimal Collision Avoidance Mehmetcan Kaymaz N. K. Üre 28 0 0 20 Mar 2024
RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning Raphael Trumpp Ehsan Javanmardi Jin Nakazato Manabu Tsukada Marco Caccamo 31 3 0 11 Mar 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 31 3 0 21 Feb 2024
Emergence of In-Context Reinforcement Learning from Noise Distillation Ilya Zisman Vladislav Kurenkov Alexander Nikulin Viacheslav Sinii Sergey Kolesnikov OffRL 33 10 0 19 Dec 2023
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning Ahmed Abdelrahman Omar M. Shehata Yarah Basyoni E. I. Morgan 32 2 0 11 Dec 2023
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing Andrew Murdoch J. C. Schoeman H. W. Jordaan 19 2 0 11 Dec 2023
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions Ahmed Abdelrahman 17 2 0 08 Dec 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control Bernd Frauenknecht Tobias Ehlgen Sebastian Trimpe 42 3 0 30 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Hao-ming Lin Wenhao Ding Zuxin Liu Yaru Niu Jiacheng Zhu Yuming Niu Ding Zhao OffRL 28 11 0 31 Oct 2023
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization Yuxin Chen Chen Tang Ran Tian Chenran Li Jinning Li Masayoshi Tomizuka Wei Zhan 44 3 0 11 Oct 2023
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight Jiaxu Xing L. Bauersfeld Yunlong Song Chunwei Xing Davide Scaramuzza 23 12 0 18 Sep 2023
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem Tanmay Vilas Samak Chinmay Vilas Samak V. Krovi 39 0 0 18 Sep 2023
Learning the References of Online Model Predictive Control for Urban Self-Driving Yubin Wang Zeng Peng Yusen Xie Yulin Li Hakim Ghazzai Jun Ma 13 0 0 30 Aug 2023
A Versatile Door Opening System with Mobile Manipulator through Adaptive Position-Force Control and Reinforcement Learning Gyuree Kang Hyunki Seong Daegyu Lee David Hyunchul Shim 11 5 0 10 Jul 2023
Composing Efficient, Robust Tests for Policy Selection Dustin Morrill Thomas J. Walsh D. Hernández Peter R. Wurman Peter Stone 30 0 0 12 Jun 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing Kyle Stachowicz Dhruv Shah Arjun Bhorkar Ilya Kostrikov Sergey Levine OffRL 43 26 0 19 Apr 2023
Learning Robot Manipulation from Cross-Morphology Demonstration G. Salhotra Isabella Liu Gaurav Sukhatme LM&Ro 25 9 0 07 Apr 2023
An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge Chanyoung Jung Andrea Finazzi Hyunki Seong Daegyu Lee Seungwook Lee Bosung Kim Gyuri Gang Seung-Jun Han David Hyunchul Shim 24 10 0 16 Mar 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger Feng Yu Luc Van Gool 24 1 0 07 Mar 2023
Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning Yubin Wang Yuling Li Y. Massoud Hakim Ghazzai Jun Ma 11 5 0 07 Mar 2023
i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments Yifan Zeng Suiyi He H. Nguyen Yihan Li Zhongyu Li Koushil Sreenath Jun Zeng 29 0 0 28 Feb 2023
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars Raphael Trumpp Denis Hoornaert Marco Caccamo 38 9 0 14 Feb 2023
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors Boyuan Deng Jian Sun Zhuo Li G. Wang 35 0 0 13 Feb 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals Yue Wu Yewen Fan Paul Pu Liang A. Azaria Yuan-Fang Li Tom Michael Mitchell OffRL 26 47 0 09 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 Masayoshi Tomizuka 29 2 0 17 Nov 2022
Event Tables for Efficient Experience Replay Varun Kompella Thomas J. Walsh Samuel Barrett Peter R. Wurman Peter Stone OffRL 27 2 0 01 Nov 2022
Meta-Reinforcement Learning Using Model Parameters G. Hartmann A. Azaria 16 0 0 27 Oct 2022
Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor B. D. Evans Johannes Betz Hongrui Zheng H. Engelbrecht Rahul Mangharam H. W. Jordaan OffRL 25 6 0 22 Sep 2022
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing Jonathan Becker Nadine Imholz Luca Schwarzenbach Edoardo Ghignone Nicolas Baumann Michele Magno 45 25 0 09 Sep 2022
This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis Trent Weiss Madhur Behl 34 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 51 352 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 34 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 34 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 24 12 0 05 May 2022
Learning Minimum-Time Flight in Cluttered Environments Robert Pěnička Yunlong Song Elia Kaufmann Davide Scaramuzza 26 50 0 28 Mar 2022
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models Nathan Vaska Kevin J. Leahy Victoria Helus 16 1 0 17 Mar 2022