ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.13333
  4. Cited By
Urban Driver: Learning to Drive from Real-world Demonstrations Using
  Policy Gradients

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients

27 September 2021
Oliver Scheel
Luca Bergamini
Maciej Wołczyk
Bla.zej Osiñski
Peter Ondruska
ArXivPDFHTML

Papers citing "Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients"

50 / 75 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
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
Junrui Zhang
Chenjie Wang
Jie Peng
Haoyu Li
Jianmin Ji
Yu Zhang
Y. Zhang
38
0
0
09 Apr 2025
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
Kailin Li
Zhenxin Li
Shiyi Lan
Yuan Xie
Zhizhong Zhang
J. Liu
Zuxuan Wu
Zhiding Yu
Jose M.Alvarez
58
2
0
17 Mar 2025
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
Dongkun Zhang
Jiaming Liang
Ke Guo
Sha Lu
Qi Wang
R. Xiong
Zhenwei Miao
Yue Wang
65
1
0
27 Feb 2025
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
Hao Sun
M. Schaar
92
14
0
28 Jan 2025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
Yinan Zheng
Ruiming Liang
Kexin Zheng
Jinliang Zheng
Liyuan Mao
...
Weihao Gu
Rui Ai
Shengbo Eben Li
Xianyuan Zhan
Jingjing Liu
65
6
0
26 Jan 2025
LHPF: Look back the History and Plan for the Future in Autonomous
  Driving
LHPF: Look back the History and Plan for the Future in Autonomous Driving
Sheng Wang
Yao Tian
Xiaodong Mei
Ge Sun
Jie-Zhi Cheng
Fulong Ma
Pedro V. Sander
Junwei Liang
66
0
0
26 Nov 2024
PlanScope: Learning to Plan Within Decision Scope Does Matter
PlanScope: Learning to Plan Within Decision Scope Does Matter
Ren Xin
Jie-Zhi Cheng
Jun Ma
Jun Ma
28
0
0
01 Nov 2024
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement
  Learning for Autonomous Driving
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving
Minh Tri Huynh
Duc Dung Nguyen
OffRL
31
0
0
30 Oct 2024
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent
  Models in Autonomous Highway Driving Simulations
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer
Reinis Cimurs
Benjamin Coors
Johannes Goth
Sebastian Ziesche
Philipp Geiger
Maximilian Naumann
31
0
0
21 Oct 2024
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Di Zeng
Ling Zheng
Xiantong Yang
Yinong Li
26
0
0
21 Oct 2024
Language-Model-Assisted Bi-Level Programming for Reward Learning from
  Internet Videos
Language-Model-Assisted Bi-Level Programming for Reward Learning from Internet Videos
Harsh Mahesheka
Zhixian Xie
Z. Wang
Wanxin Jin
29
0
0
11 Oct 2024
Diffusion Imitation from Observation
Diffusion Imitation from Observation
Bo-Ruei Huang
Chun-Kai Yang
Chun-Mao Lai
Dai-Jie Wu
Shao-Hua Sun
39
4
0
07 Oct 2024
DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving
DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving
Dingrui Wang
Marc Kaufeld
Johannes Betz
33
0
0
26 Sep 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous
  Driving
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
Haochen Liu
Li Chen
Yu Qiao
Chen Lv
Hongyang Li
33
3
0
26 Sep 2024
Learning Multiple Probabilistic Decisions from Latent World Model in
  Autonomous Driving
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
Lingyu Xiao
Jiang-Jiang Liu
Sen Yang
Xiaofan Li
Xiaoqing Ye
Wankou Yang
Jingdong Wang
34
0
0
24 Sep 2024
Velocity Field: An Informative Traveling Cost Representation for
  Trajectory Planning
Velocity Field: An Informative Traveling Cost Representation for Trajectory Planning
Ren Xin
Jie-Zhi Cheng
Sheng Wang
Ming Liu
24
2
0
20 Sep 2024
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Marc Heim
Fráncisco Suarez-Ruiz
Ishraq Bhuiyan
Bruno Brito
Momchil S. Tomov
34
1
0
14 Sep 2024
Making Large Language Models Better Planners with Reasoning-Decision
  Alignment
Making Large Language Models Better Planners with Reasoning-Decision Alignment
Zhijian Huang
Tao Tang
Shaoxiang Chen
Sihao Lin
Zequn Jie
Lin Ma
Guangrun Wang
Xiaodan Liang
56
9
0
25 Aug 2024
Rethinking Closed-loop Planning Framework for Imitation-based Model
  Integrating Prediction and Planning
Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning
Jiayu Guo
Mingyue Feng
Pengfei Zhu
Chengjun Li
Jian Pu
43
1
0
07 Jul 2024
Solving Motion Planning Tasks with a Scalable Generative Model
Solving Motion Planning Tasks with a Scalable Generative Model
Yihan Hu
Siqi Chai
Zhening Yang
Jingyu Qian
Kun Li
Wenxin Shao
Haichao Zhang
Wei-ping Xu
Qiang Liu
48
17
0
03 Jul 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and
  Benchmarking
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
D. Dauner
Marcel Hallgarten
Tianyu Li
Xinshuo Weng
Zhiyu Huang
...
Igor Gilitschenski
B. Ivanovic
Marco Pavone
Andreas Geiger
Kashyap Chitta
62
35
0
21 Jun 2024
Asynchronous Large Language Model Enhanced Planner for Autonomous
  Driving
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
Yuan-Hsin Chen
Zi-han Ding
Ziqin Wang
Yan Wang
Lijun Zhang
Si Liu
66
12
0
20 Jun 2024
A First Physical-World Trajectory Prediction Attack via LiDAR-induced
  Deceptions in Autonomous Driving
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
Yang Lou
Yi Zhu
Qun Song
Rui Tan
Chunming Qiao
Wei-Bin Lee
Jianping Wang
AAML
44
2
0
17 Jun 2024
Planning with Adaptive World Models for Autonomous Driving
Planning with Adaptive World Models for Autonomous Driving
Arun Balajee Vasudevan
Neehar Peri
Jeff Schneider
Deva Ramanan
87
3
0
15 Jun 2024
Instruct Large Language Models to Drive like Humans
Instruct Large Language Models to Drive like Humans
Ruijun Zhang
Xianda Guo
Wenzhao Zheng
Chenming Zhang
Kurt Keutzer
Long Chen
34
3
0
11 Jun 2024
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle
  Motion Planning
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning
Yupeng Zheng
Zebin Xing
Qichao Zhang
Bu Jin
Pengfei Li
...
Zhongpu Xia
Kun Zhan
Xianpeng Lang
Yaran Chen
Dongbin Zhao
LM&Ro
LRM
LLMAG
59
14
0
03 Jun 2024
Learning from Mistakes: a Weakly-supervised Method for Mitigating the
  Distribution Shift in Autonomous Vehicle Planning
Learning from Mistakes: a Weakly-supervised Method for Mitigating the Distribution Shift in Autonomous Vehicle Planning
Fazel Arasteh
Mohammed Elmahgiubi
Behzad Khamidehi
Hamidreza Mirkhani
Weize Zhang
Kasra Rezaee
30
0
0
03 Jun 2024
MRIC: Model-Based Reinforcement-Imitation Learning with
  Mixture-of-Codebooks for Autonomous Driving Simulation
MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation
Baotian He
Yibing Li
44
0
0
29 Apr 2024
PLUTO: Pushing the Limit of Imitation Learning-based Planning for
  Autonomous Driving
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
Jie-Zhi Cheng
Ying-Cong Chen
Qifeng Chen
VLM
54
24
0
22 Apr 2024
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Marcel Hallgarten
Julian Zapata
Martin Stoll
Katrin Renz
Andreas Zell
38
10
0
11 Apr 2024
Residual Chain Prediction for Autonomous Driving Path Planning
Residual Chain Prediction for Autonomous Driving Path Planning
Liguo Zhou
Yirui Zhou
Huaming Liu
Alois C. Knoll
15
0
0
08 Apr 2024
Towards learning-based planning:The nuPlan benchmark for real-world
  autonomous driving
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving
Napat Karnchanachari
Dimitris Geromichalos
Kok Seang Tan
Nanxiang Li
Christopher Eriksen
...
N. Mehdipour
Gianmarco Bernasconi
Whye Kit Fong
Yiluan Guo
Holger Caesar
27
31
0
07 Mar 2024
Path Planning based on 2D Object Bounding-box
Path Planning based on 2D Object Bounding-box
Yanliang Huang
Liguo Zhou
Chang Liu
Alois C. Knoll
26
0
0
22 Feb 2024
GenAD: Generative End-to-End Autonomous Driving
GenAD: Generative End-to-End Autonomous Driving
Wenzhao Zheng
Ruiqi Song
Xianda Guo
Chenming Zhang
Long Chen
29
48
0
18 Feb 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous
  Driving and Zero-Shot Instruction Following
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
Brian Yang
Huangyuan Su
N. Gkanatsios
Tsung-Wei Ke
Ayush Jain
Jeff Schneider
Katerina Fragkiadaki
DiffM
37
20
0
09 Feb 2024
Hybrid-Prediction Integrated Planning for Autonomous Driving
Hybrid-Prediction Integrated Planning for Autonomous Driving
Haochen Liu
Zhiyu Huang
Wenhui Huang
Haohan Yang
Xiaoyu Mo
Chen Lv
28
5
0
04 Feb 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation
  Learning
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang
Li-Cheng Lan
Wei-Fang Sun
Chien Feng
Cho-Jui Hsieh
Chun-Yi Lee
28
0
0
01 Feb 2024
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023
End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023
Gongjin Lan
Qi Hao
51
9
0
26 Dec 2023
Online Vectorized HD Map Construction using Geometry
Online Vectorized HD Map Construction using Geometry
Zhixin Zhang
Yiyuan Zhang
Xiaohan Ding
Fusheng Jin
Xiangyu Yue
3DPC
31
23
0
06 Dec 2023
Large Trajectory Models are Scalable Motion Predictors and Planners
Large Trajectory Models are Scalable Motion Predictors and Planners
Q. Sun
Shiduo Zhang
Danjiao Ma
Jingzhe Shi
Derun Li
Simian Luo
Yu Wang
Ningyi Xu
Guangzhi Cao
Hang Zhao
27
13
0
30 Oct 2023
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation
  for Tree Policy Planning in Autonomous Driving
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving
Zhiyu Huang
Peter Karkus
B. Ivanovic
Yuxiao Chen
Marco Pavone
Chen Lv
19
25
0
09 Oct 2023
A Two-stage Based Social Preference Recognition in Multi-Agent
  Autonomous Driving System
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System
Jintao Xue
Dongkun Zhang
Rong Xiong
Yue Wang
Eryun Liu
20
0
0
05 Oct 2023
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
42
6
0
21 Sep 2023
Rethinking Imitation-based Planner for Autonomous Driving
Rethinking Imitation-based Planner for Autonomous Driving
Jie-Zhi Cheng
Yingbing Chen
Xiaodong Mei
Bowen Yang
Bo Li
Ming-Yu Liu
54
18
0
19 Sep 2023
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
Raphael Chekroun
Thomas Gilles
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
27
9
0
15 Sep 2023
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of
  Autonomous Driving
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
Tengju Ye
Wei Jing
Chunyong Hu
Shikun Huang
Lingping Gao
...
Wei Mao
Hang Zheng
Kun Li
Junbo Chen
Kaicheng Yu
23
38
0
02 Aug 2023
Residual Q-Learning: Offline and Online Policy Customization without
  Value
Residual Q-Learning: Offline and Online Policy Customization without Value
Chenran Li
Chen Tang
Haruki Nishimura
Jean-Pierre Mercat
M. Tomizuka
Wei Zhan
OffRL
25
6
0
15 Jun 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning
Parting with Misconceptions about Learning-based Vehicle Motion Planning
D. Dauner
Marcel Hallgarten
Andreas Geiger
Kashyap Chitta
19
113
0
13 Jun 2023
Scaling Planning for Automated Driving using Simplistic Synthetic Data
Scaling Planning for Automated Driving using Simplistic Synthetic Data
Martin Stoll
Markus Mazzola
M.F. Dolgov
Jürgen Mathes
Nicolas Moser
11
2
0
30 May 2023
12
Next