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Learning from Simulation, Racing in Reality
v1v2 (latest)

Learning from Simulation, Racing in Reality

IEEE International Conference on Robotics and Automation (ICRA), 2020
26 November 2020
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
ArXiv (abs)PDFHTML

Papers citing "Learning from Simulation, Racing in Reality"

15 / 15 papers shown
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch
Edoardo Ghignone
Nicolas Baumann
Cheng Hu
Andrea Carron
Michele Magno
282
1
0
12 May 2025
On learning racing policies with reinforcement learning
On learning racing policies with reinforcement learning
Grzegorz Czechmanowski
Jan Węgrzynowski
Piotr Kicki
Krzysztof Walas
313
1
0
03 Apr 2025
Partial End-to-end Reinforcement Learning for Robustness Against
  Modelling Error in Autonomous Racing
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing
Andrew Murdoch
J. C. Schoeman
H. W. Jordaan
281
2
0
11 Dec 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory
  Control
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
Bernd Frauenknecht
Tobias Ehlgen
Sebastian Trimpe
319
5
0
30 Nov 2023
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained
  Iterative LQR
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQRIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Der-Hau Lee
172
9
0
28 Nov 2023
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement
  Learning
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2023
B. D. Evans
H. Engelbrecht
H. W. Jordaan
289
33
0
12 Jun 2023
A Benchmark Comparison of Imitation Learning-based Control Policies for
  Autonomous Racing
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing
Xiatao Sun
Mingyan Zhou
Zhijun Zhuang
Shuo Yang
Johannes Betz
Rahul Mangharam
OffRL
320
29
0
29 Sep 2022
Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning
  using a Supervisor
Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a SupervisorInternational Conference on Advanced Robotics (ICAR), 2022
B. D. Evans
Johannes Betz
Hongrui Zheng
H. Engelbrecht
Rahul Mangharam
H. W. Jordaan
OffRL
245
9
0
22 Sep 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
258
13
0
01 Jun 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
285
22
0
19 May 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
  Cross-domain Generalisation in Autonomous Racing
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
202
15
0
05 May 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle RacingIEEE Open Journal of Intelligent Transportation Systems (JOITS), 2022
Johannes Betz
Hongrui Zheng
Alexander Liniger
Ugo Rosolia
Phillip Karle
Madhur Behl
Venkat Krovi
Rahul Mangharam
297
310
0
14 Feb 2022
Smooth Model Predictive Path Integral Control without Smoothing
Smooth Model Predictive Path Integral Control without SmoothingIEEE Robotics and Automation Letters (RA-L), 2021
Taekyung Kim
Gyuhyun Park
K. Kwak
Jihwan Bae
Wonsuk Lee
562
59
0
18 Dec 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Bingqing Chen
Jonathan M Francis
Jean Oh
Eric Nyberg
Sylvia Herbert
241
16
0
14 Oct 2021
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation
Eugenio Chisari
Tim Welschehold
Joschka Boedecker
Wolfram Burgard
Abhinav Valada
186
48
0
07 Oct 2021
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