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Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models

Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models

25 September 2024
A. Popov
Alperen Degirmenci
David Wehr
Shashank Hegde
Ryan Oldja
A. Kamenev
Bertrand Douillard
David Nistér
Urs Muller
Ruchi Bhargava
Stan Birchfield
Nikolai Smolyanskiy
ArXivPDFHTML

Papers citing "Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models"

6 / 6 papers shown
Title
Data Scaling Laws for End-to-End Autonomous Driving
Data Scaling Laws for End-to-End Autonomous Driving
Alexander Naumann
Xunjiang Gu
Tolga Dimlioglu
Mariusz Bojarski
Alperen Degirmenci
A. Popov
Devansh Bisla
Marco Pavone
Urs Muller
Boris Ivanovic
48
0
0
06 Apr 2025
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
110
1
0
04 Mar 2025
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
Elahe Delavari
Aws Khalil
Jaerock Kwon
69
1
0
02 Mar 2025
COMPASS: Cross-embodiment Mobility Policy via Residual RL and Skill Synthesis
Wei Liu
Huihua Zhao
Chenran Li
Joydeep Biswas
Soha Pouya
Yan Chang
80
0
0
22 Feb 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Yi Yang
VGen
80
6
0
20 Jan 2025
Exploring the Interplay Between Video Generation and World Models in
  Autonomous Driving: A Survey
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey
Ao Fu
Yi Zhou
Tao Zhou
Yi Yang
Bojun Gao
Qun Li
Guobin Wu
Ling Shao
VGen
59
2
0
05 Nov 2024
1