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GRI: General Reinforced Imitation and its Application to Vision-Based
  Autonomous Driving

GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving

16 November 2021
Raphael Chekroun
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
ArXivPDFHTML

Papers citing "GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving"

15 / 15 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
54
0
0
24 Apr 2025
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
Genjia Liu
Yue Hu
Chenxin Xu
Weibo Mao
Junhao Ge
...
Yifan Lu
Yinda Xu
Junkai Xia
Yafei Wang
Siheng Chen
74
7
0
15 Apr 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent
  World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Qifeng Li
Xiaosong Jia
Shaobo Wang
Junchi Yan
33
27
0
26 Feb 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan
Shuyang Sun
Daniel Omeiza
Bo-Lu Zhao
Paul Newman
Lars Kunze
Matthew Gadd
LRM
36
48
0
16 Feb 2024
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
78
5
0
13 Dec 2023
ReasonNet: End-to-End Driving with Temporal and Global Reasoning
ReasonNet: End-to-End Driving with Temporal and Global Reasoning
Hao Shao
Letian Wang
Ruobing Chen
Steven L. Waslander
Hongsheng Li
Y. Liu
LRM
38
71
0
17 May 2023
PaaS: Planning as a Service for reactive driving in CARLA Leaderboard
PaaS: Planning as a Service for reactive driving in CARLA Leaderboard
Nhat Hao Truong
Huu Thien Mai
T. Anh
M. Tran
Duc Duy Nguyen
Ngoc Viet Phuong Pham
26
2
0
17 Apr 2023
Exploiting map information for self-supervised learning in motion
  forecasting
Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo
Thomas Gilles
S. Sabatini
D. Tsishkou
SSL
49
9
0
10 Oct 2022
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion
  Transformer
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Hao Shao
Letian Wang
Ruobing Chen
Hongsheng Li
Y. Liu
47
195
0
28 Jul 2022
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal
  Feature Learning
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
Shengchao Hu
Li Chen
Peng Wu
Hongyang Li
Junchi Yan
Dacheng Tao
31
226
0
15 Jul 2022
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
Qingwen Zhang
Mingkai Tang
R. Geng
Feiyi Chen
Ren Xin
Lujia Wang
37
34
0
01 Jul 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving:
  A Simple yet Strong Baseline
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Peng Wu
Xiaosong Jia
Li Chen
Junchi Yan
Hongyang Li
Yu Qiao
32
182
0
16 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
104
295
0
31 May 2022
Learning from All Vehicles
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
42
176
0
22 Mar 2022
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
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