Virtual to Real Reinforcement Learning for Autonomous Driving

13 April 2017

Papers citing "Virtual to Real Reinforcement Learning for Autonomous Driving"

50 / 51 papers shown

Title
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions Mohammad K. Al-Sharman Luc Edes Bert Sun Vishal Jayakumar Mohamed A. Daoud Derek Rayside W. Melek 29 1 0 20 Sep 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 46 2 0 22 Aug 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator Lakshmikar R. Polamreddy Youshan Zhang 20 3 0 24 Oct 2023
A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning Yash Shukla Bharat Kesari Shivam Goel Robert Wright Jivko Sinapov 54 4 0 13 Oct 2023
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches Dimia Iberraken Lounis Adouane 19 1 0 29 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 29 1 0 24 Apr 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 38 18 0 31 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 31 92 0 21 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 49 21 0 13 Dec 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 45 58 0 18 Oct 2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Zhili Zhang Songyang Han Jiangwei Wang Fei Miao 38 19 0 05 Oct 2022
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning Hua Wei Jingxiao Chen Xiyang Ji Hongyang Qin Minwen Deng ... Lin Liu Lanxiao Huang Deheng Ye Qiang Fu Wei Yang 43 28 0 18 Sep 2022
Data generation using simulation technology to improve perception mechanism of autonomous vehicles Minh Cao R. Ramezani 23 10 0 01 Jul 2022
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking Zeyu Fang Jian Zhao Mingyu Yang Wen-gang Zhou Zhenbo Lu Houqiang Li 28 10 0 22 Feb 2022
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 22 5 0 26 Dec 2021
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
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles Alexander Amini Tsun-Hsuan Wang Igor Gilitschenski Wilko Schwarting Zhijian Liu Song Han S. Karaman Daniela Rus 23 98 0 23 Nov 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients Oliver Scheel Luca Bergamini Maciej Wołczyk Bla.zej Osiñski Peter Ondruska 37 104 0 27 Sep 2021
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search Fan Bai Fei Meng Jianbang Liu Jiankun Wang Max Q.-H. Meng 23 6 0 18 Sep 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
End-to-end Interpretable Neural Motion Planner Wenyuan Zeng Wenjie Luo Simon Suo Abbas Sadat Binh Yang Sergio Casas R. Urtasun 3DV 25 401 0 17 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 45 462 0 17 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments M. Praeger Yunhui Xie J. Grant-Jacob R. Eason B. Mills 22 11 0 05 Nov 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 34 65 0 01 Jul 2020
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections C. Hoel Tommy Tram J. Sjöberg 29 30 0 17 Jun 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 19 95 0 20 May 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation M. Moghaddam Qi Wu Ehsan Abbasnejad Javen Qinfeng Shi 20 4 0 07 Apr 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Bo-wen Li Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 38 261 0 19 Mar 2020
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
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization Lu Wen Jingliang Duan Shengbo Eben Li Shaobing Xu H. Peng 24 68 0 03 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 506 0 23 Dec 2019
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
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving Rupert Mitchell Jenny Fletcher Jacopo Panerati Amanda Prorok 30 17 0 26 Nov 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Bo-wen Li D. Song AAML 14 69 0 21 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 36 126 0 09 Jul 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks Ziliang Chen Jingyu Zhuang Xiaodan Liang Liang Lin OOD 33 83 0 08 Jul 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 739 0 19 Jun 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning Xinlei Pan Weiyao Wang Xiaoshuai Zhang Bo-wen Li Jinfeng Yi D. Song MIACV 69 26 0 24 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support David L. Smyth S. Abinesh Nazli B. Karimi Brett Drury I. Ullah F. Glavin Michael G. Madden 22 5 0 14 Sep 2018
End to End Vehicle Lateral Control Using a Single Fisheye Camera Marin Toromanoff É. Wirbel F. Wilhelm Camilo Vejarano Xavier Perrotton Fabien Moutarde 36 39 0 20 Aug 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving Xiaodan Liang Tairui Wang Luona Yang Eric Xing 24 266 0 10 Jul 2018
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation David L. Smyth J. Fennell S. Abinesh Nazli B. Karimi F. Glavin I. Ullah Brett Drury Michael G. Madden 22 8 0 12 Jun 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 37 224 0 25 Apr 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation Zhang-Wei Hong Yu-Ming Chen Shih-Yang Su Tzu-Yun Shann Yi-Hsiang Chang ... Yueh-Chuan Chang Tsu-Ching Hsiao Hsin-Wei Hsiao Sih-Pin Lai Chun-Yi Lee 29 81 0 01 Feb 2018
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 810 0 13 Nov 2016