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Autonomous Overtaking in Gran Turismo Sport Using Curriculum
  Reinforcement Learning

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning

26 March 2021
Yunlong Song
HaoChih Lin
Elia Kaufmann
P. Duerr
Davide Scaramuzza
ArXivPDFHTML

Papers citing "Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning"

17 / 17 papers shown
Title
CaRL: Learning Scalable Planning Policies with Simple Rewards
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
Autonomous Driving at Unsignalized Intersections: A Review of
  Decision-Making Challenges and Reinforcement Learning-Based Solutions
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
29
1
0
20 Sep 2024
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement
  Learning-Based Planning Framework
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework
Xibo Li
Shruti Patel
Christof Büskens
46
2
0
01 Jul 2024
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
Haimin Hu
Jonathan A. DeCastro
Deepak Gopinath
Guy Rosman
Naomi Ehrich Leonard
J. F. Fisac
64
5
0
14 Jun 2024
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Zeng Peng
Xiao Zhou
Lei Zheng
Yubin Wang
Jun Ma
71
4
0
20 Mar 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human
  Racing Gameplay
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
Improving Environment Robustness of Deep Reinforcement Learning
  Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum
  Learning
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning
Rohan Banerjee
Prishita Ray
Mark Campbell
19
2
0
16 Dec 2023
Chance-Aware Lane Change with High-Level Model Predictive Control
  Through Curriculum Reinforcement Learning
Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
Yubin Wang
Yuling Li
Y. Massoud
Hakim Ghazzai
Jun Ma
19
5
0
07 Mar 2023
Model- and Acceleration-based Pursuit Controller for High-Performance
  Autonomous Racing
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing
Jonathan Becker
Nadine Imholz
Luca Schwarzenbach
Edoardo Ghignone
Nicolas Baumann
Michele Magno
50
26
0
09 Sep 2022
Motion Planning and Control for Multi Vehicle Autonomous Racing at High
  Speeds
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds
Ayoub Raji
Alexander Liniger
Andrea Giove
A. Toschi
Nicola Musiu
Daniele Morra
M. Verucchi
D. Caporale
Marko Bertogna
19
42
0
22 Jul 2022
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving
  at Unsignalized Intersections
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
Shivesh Khaitan
John M. Dolan
SSL
24
17
0
10 Jul 2022
Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with
  the Autoware.Auto Open Source Software Stack
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
36
11
0
01 Jun 2022
TUM autonomous motorsport: An autonomous racing software for the Indy
  Autonomous Challenge
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
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing
  -- A Reinforcement Learning Approach
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach
Edoardo Ghignone
Nicolas Baumann
Mike Boss
Michele Magno
34
14
0
19 May 2022
Hierarchical Control for Cooperative Teams in Competitive Autonomous
  Racing
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing
Rishabh Saumil Thakkar
Aryaman Singh Samyal
David Fridovich-Keil
Zhe Xu
Ufuk Topcu
31
8
0
27 Apr 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
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
37
215
0
14 Feb 2022
Learning Interactive Driving Policies via Data-driven Simulation
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang
Alexander Amini
Wilko Schwarting
Igor Gilitschenski
S. Karaman
Daniela Rus
24
20
0
23 Nov 2021
1