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Cited By
Rethinking Closed-loop Training for Autonomous Driving
27 June 2023
Chris Zhang
R. Guo
Wenyuan Zeng
Yuwen Xiong
Binbin Dai
Rui Hu
Mengye Ren
R. Urtasun
OffRL
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Papers citing
"Rethinking Closed-loop Training for Autonomous Driving"
8 / 8 papers shown
Title
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
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
114
159
0
04 Oct 2023
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
98
116
0
03 May 2021
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Nicholas Rhinehart
Jeff He
Charles Packer
Matthew A. Wright
R. McAllister
Joseph E. Gonzalez
Sergey Levine
103
32
0
21 Apr 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
151
224
0
17 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,955
0
04 May 2020
BARK: Open Behavior Benchmarking in Multi-Agent Environments
Julian Bernhard
Klemens Esterle
Patrick Hart
Tobias Kessler
90
41
0
05 Mar 2020
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