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SelfD: Self-Learning Large-Scale Driving Policies From the Web

SelfD: Self-Learning Large-Scale Driving Policies From the Web

21 April 2022
Jimuyang Zhang
Ruizhao Zhu
Eshed Ohn-Bar
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Papers citing "SelfD: Self-Learning Large-Scale Driving Policies From the Web"

5 / 5 papers shown
Title
AdaWorld: Learning Adaptable World Models with Latent Actions
AdaWorld: Learning Adaptable World Models with Latent Actions
Shenyuan Gao
Siyuan Zhou
Yilun Du
Jun Zhang
Chuang Gan
VGen
62
3
0
24 Mar 2025
CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
Xinhao Liu
J. Li
Yichen Jiang
Niranjan Sujay
Z. Yang
Juexiao Zhang
John Abanes
Jing Zhang
Chen Feng
114
1
0
26 Nov 2024
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
42
6
0
21 Sep 2023
Learning to drive from a world on rails
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
98
116
0
03 May 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
238
509
0
15 Jan 2021
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