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A Benchmark Comparison of Imitation Learning-based Control Policies for
  Autonomous Racing

A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing

29 September 2022
Xiatao Sun
Mingyan Zhou
Zhijun Zhuang
Shuo Yang
Johannes Betz
Rahul Mangharam
    OffRL
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Papers citing "A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing"

12 / 12 papers shown
Title
PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking
PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking
Xiatao Sun
Yinxing Chen
Daniel Rakita
VGen
53
0
0
29 Apr 2025
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Jielong Yang
Daoyuan Huang
33
0
0
21 Feb 2025
STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems
STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems
Shuo Yang
Hongrui Zheng
Cristian-Ioan Vasile
George Pappas
Rahul Mangharam
69
0
0
02 Dec 2024
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH
  Autonomous Racing
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar
QiTao Weng
Bakhbyergyen Yerjan
Ahmet Soyyigit
Heechul Yun
11
2
0
09 Oct 2024
Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement
  Learning
Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
Letian Xu
Jiabei Liu
Haopeng Zhao
Tianyao Zheng
Tongzhou Jiang
Lipeng Liu
30
12
0
18 Jul 2024
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
B. D. Evans
Raphael Trumpp
Marco Caccamo
Felix Jahncke
Johannes Betz
H. W. Jordaan
H. Engelbrecht
29
6
0
28 Feb 2024
AV4EV: Open-Source Modular Autonomous Electric Vehicle Platform for
  Making Mobility Research Accessible
AV4EV: Open-Source Modular Autonomous Electric Vehicle Platform for Making Mobility Research Accessible
Zhijie Qiao
Mingyan Zhou
Zhijun Zhuang
Tejas Agarwal
Felix Jahncke
...
Divyanshu Sahu
Tomáš Nagy
Martin Endler
J. Schlessman
Rahul Mangharam
22
3
0
01 Dec 2023
Safe Control Synthesis for Hybrid Systems through Local Control Barrier
  Functions
Safe Control Synthesis for Hybrid Systems through Local Control Barrier Functions
Shuo Yang
Mitchell Black
Georgios Fainekos
Bardh Hoxha
Hideki Okamoto
Rahul Mangharam
8
2
0
28 Nov 2023
Towards Optimal Head-to-head Autonomous Racing with Curriculum
  Reinforcement Learning
Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning
Dvij Kalaria
Qin Lin
John M. Dolan
9
2
0
25 Aug 2023
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement
  Learning
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning
B. D. Evans
H. Engelbrecht
H. W. Jordaan
11
18
0
12 Jun 2023
Safe Perception-Based Control under Stochastic Sensor Uncertainty using
  Conformal Prediction
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction
Shuo Yang
George J. Pappas
Rahul Mangharam
Lars Lindemann
13
19
0
01 Apr 2023
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
Xiatao Sun
Shuo Yang
Mingyan Zhou
Kunpeng Liu
Rahul Mangharam
OffRL
11
13
0
01 Mar 2023
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