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. 1807.03776
  4. Cited By
CIRL: Controllable Imitative Reinforcement Learning for Vision-based
  Self-driving

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

10 July 2018
Xiaodan Liang
Tairui Wang
Luona Yang
Eric Xing
ArXivPDFHTML

Papers citing "CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving"

31 / 31 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
60
1
0
24 Apr 2025
Guiding Attention in End-to-End Driving Models
Guiding Attention in End-to-End Driving Models
Diego Porres
Yi Xiao
Gabriel Villalonga
Alexandre Levy
Antonio M. López
39
0
0
30 Apr 2024
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
80
5
0
13 Dec 2023
Bayesian Domain Invariant Learning via Posterior Generalization of
  Parameter Distributions
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
BDL
OOD
37
1
0
25 Oct 2023
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for
  Autonomous Driving with Multi-Task Learning
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning
Pedram Agand
Mohammad Mahdavian
Manolis Savva
Mo Chen
ViT
31
4
0
19 Oct 2023
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with
  Vehicle-to-Everything Communication Integration
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration
Zhi-Guo Deng
Yanjun Shi
Weiming Shen
31
0
0
26 Sep 2023
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
47
6
0
21 Sep 2023
Motion Planning for Autonomous Driving: The State of the Art and Future
  Perspectives
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
40
336
0
17 Mar 2023
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable
  Automated Driving
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving
Dikshant Gupta
Matthias Klusch
23
2
0
30 Dec 2022
Imitation Is Not Enough: Robustifying Imitation with Reinforcement
  Learning for Challenging Driving Scenarios
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu
Justin Fu
George Tucker
Xinlei Pan
Eli Bronstein
...
Brandyn White
Aleksandra Faust
Shimon Whiteson
Drago Anguelov
Sergey Levine
OffRL
31
93
0
21 Dec 2022
A Benchmark Comparison of Imitation Learning-based Control Policies for
  Autonomous Racing
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing
Xiatao Sun
Mingyan Zhou
Zhijun Zhuang
Shuo Yang
Johannes Betz
Rahul Mangharam
OffRL
42
20
0
29 Sep 2022
Backward Imitation and Forward Reinforcement Learning via Bi-directional
  Model Rollouts
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts
Yuxin Pan
Fangzhen Lin
OffRL
25
3
0
04 Aug 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
49
182
0
16 Jun 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web
SelfD: Self-Learning Large-Scale Driving Policies From the Web
Jimuyang Zhang
Ruizhao Zhu
Eshed Ohn-Bar
21
20
0
21 Apr 2022
Multi-Task Conditional Imitation Learning for Autonomous Navigation at
  Crowded Intersections
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections
Zeyu Zhu
Huijing Zhao
29
8
0
21 Feb 2022
Learning Interactive Driving Policies via Data-driven Simulation
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang
Alexander Amini
Wilko Schwarting
Igor Gilitschenski
S. Karaman
Daniela Rus
24
20
0
23 Nov 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual
  Patterns
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns
Prasanth Buddareddygari
Travis Zhang
Yezhou Yang
Yi Ren
AAML
37
13
0
16 Sep 2021
Learning by Watching
Learning by Watching
Jimuyang Zhang
Eshed Ohn-Bar
EgoV
41
33
0
10 Jun 2021
Fixed-Dimensional and Permutation Invariant State Representation of
  Autonomous Driving
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
Jingliang Duan
Dongjie Yu
Shengbo Eben Li
Wenxuan Wang
Yangang Ren
Ziyu Lin
B. Cheng
30
10
0
24 May 2021
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Mingyuan Mao
Baochang Zhang
David Doermann
Jie Guo
Shumin Han
Yuan Feng
Xiaodi Wang
Errui Ding
16
2
0
07 May 2021
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
Convex Online Video Frame Subset Selection using Multiple Criteria for
  Data Efficient Autonomous Driving
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving
Soumik Das
Harikrishna Patibandla
S. Bhattacharya
Kshounis Bera
Niloy Ganguly
Sourangshu Bhattacharya
31
0
0
24 Mar 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for
  Autonomous Driving
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
Zhiyu Huang
Jingda Wu
Chen Lv
19
133
0
19 Mar 2021
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end
  Autonomous Driving with Scene Understanding
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
Zhiyu Huang
Chen Lv
Yang Xing
Jingda Wu
17
128
0
19 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
23
228
0
13 Mar 2020
Learning by Cheating
Learning by Cheating
Dian Chen
Brady Zhou
V. Koltun
Philipp Krahenbuhl
SSL
47
504
0
27 Dec 2019
Reinforcement Learning-based Visual Navigation with
  Information-Theoretic Regularization
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
Qiaoyun Wu
Kai Xu
Jun Wang
Mingliang Xu
Xiaoxi Gong
Tianyi Zhou
19
30
0
09 Dec 2019
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy
  Learning
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
Albert Zhao
Tong He
Yitao Liang
Haibin Huang
Mathias Niepert
Stefano Soatto
17
16
0
06 Dec 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using
  Implicit Affordances
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
44
205
0
25 Nov 2019
Multimodal End-to-End Autonomous Driving
Multimodal End-to-End Autonomous Driving
Yi Xiao
Felipe Codevilla
A. Gurram
O. Urfalioglu
Antonio M. López
19
241
0
07 Jun 2019
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform
  for Ethical Decision Making in Autonomous Vehicles
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
Vahid Behzadan
J. Minton
Arslan Munir
SyDa
26
2
0
14 Nov 2018
1