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

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

19 / 19 papers shown

Title
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 49 0 0 24 Apr 2025
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 73 5 0 13 Dec 2023
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 21 4 0 19 Oct 2023
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration Zhi-Guo Deng Yanjun Shi Weiming Shen 14 0 0 26 Sep 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 25 6 0 21 Sep 2023
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 29 335 0 17 Mar 2023
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving Dikshant Gupta Matthias Klusch 10 2 0 30 Dec 2022
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 24 92 0 21 Dec 2022
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 29 20 0 29 Sep 2022
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts Yuxin Pan Fangzhen Lin OffRL 9 3 0 04 Aug 2022
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 25 182 0 16 Jun 2022
Learning Interactive Driving Policies via Data-driven Simulation Tsun-Hsuan Wang Alexander Amini Wilko Schwarting Igor Gilitschenski S. Karaman Daniela Rus 19 20 0 23 Nov 2021
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 14 10 0 24 May 2021
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections Mingyuan Mao Baochang Zhang David Doermann Jie Guo Shumin Han Yuan Feng Xiaodi Wang Errui Ding 11 2 0 07 May 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving Zhiyu Huang Jingda Wu Chen Lv 4 131 0 19 Mar 2021
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 34 503 0 27 Dec 2019
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning Albert Zhao Tong He Yitao Liang Haibin Huang Guy Van den Broeck Stefano Soatto 9 16 0 06 Dec 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 22 204 0 25 Nov 2019
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 16 2 0 14 Nov 2018