Deep Reinforcement Learning for Autonomous Driving: A Survey

2 February 2020

Papers citing "Deep Reinforcement Learning for Autonomous Driving: A Survey"

50 / 181 papers shown

Title
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 122 15 0 09 Apr 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 73 4 0 04 Apr 2024
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections Zeng Peng Xiao Zhou Lei Zheng Yubin Wang Jun Ma 55 4 0 20 Mar 2024
Near-Optimal Solutions of Constrained Learning Problems Juan Elenter Luiz F. O. Chamon Alejandro Ribeiro 26 5 0 18 Mar 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 56 1 0 15 Mar 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations E. C. Ozcan Vittorio Giammarino James Queeney I. Paschalidis OffRL 34 0 0 29 Feb 2024
No-Regret Reinforcement Learning in Smooth MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restell 22 5 0 06 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 35 7 0 04 Feb 2024
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow Liguo Zhou Yinglei Song Yichao Gao Zhou Yu Michael Sodamin ... Hao Liu Yang Liu Haichuan Li Guang Chen Alois C. Knoll 13 4 0 28 Jan 2024
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement Jiaqi Liu Peng Hang Xiaocong Zhao Jianqiang Wang Jian Sun 43 10 0 08 Jan 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving Zilin Huang Zihao Sheng Chengyuan Ma Sikai Chen 20 27 0 06 Jan 2024
AutoTask: Executing Arbitrary Voice Commands by Exploring and Learning from Mobile GUI Lihang Pan Bowen Wang Chun Yu Yuxuan Chen Xiangyu Zhang Yuanchun Shi 21 3 0 26 Dec 2023
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 29 1 0 21 Dec 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei Shunyu Liu Jie Song Tongya Zheng Kaixuan Chen Yong Wang Mingli Song 23 0 0 28 Nov 2023
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 25 3 0 28 Nov 2023
A Survey on Multimodal Large Language Models for Autonomous Driving Can Cui Yunsheng Ma Xu Cao Wenqian Ye Yang Zhou ... Xinrui Yan Shuqi Mei Jianguo Cao Ziran Wang Chao Zheng 41 249 0 21 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 38 10 0 03 Nov 2023
Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network Xiao Li Kaiwen Liu H. E. Tseng Anouck Girard I. Kolmanovsky 21 2 0 31 Oct 2023
Combining Policy Gradient and Safety-Based Control for Autonomous Driving Xi Xiong Lu Liu 16 0 0 20 Oct 2023
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations Lu Li Yuxin Pan Ruobing Chen Jie Liu Zilin Wang Yu Liu Zhiheng Li 42 0 0 13 Oct 2023
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning Kaustuv Mukherji Devendra Parkar Lahari Pokala Dyuman Aditya Paulo Shakarian Clark Dorman 16 2 0 10 Oct 2023
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 111 159 0 04 Oct 2023
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration Zhi-Guo Deng Yanjun Shi Weiming Shen 23 0 0 26 Sep 2023
Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors Xiao Li Kaiwen Liu H. E. Tseng Anouck Girard I. Kolmanovsky 21 4 0 25 Sep 2023
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification Jasmina Gajcin J. McCarthy Rahul Nair Radu Marinescu Elizabeth M. Daly Ivana Dusparic 21 3 0 30 Aug 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 2023
BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems Md Tamjid Hossain Hung M. La S. Badsha Anton Netchaev 29 2 0 02 Aug 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 23 47 0 12 Jul 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 40 5 0 10 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 21 24 0 05 Jul 2023
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning Md Tamjid Hossain Hung M. La AAML 16 0 0 01 Jul 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning Jinyi Liu Y. Ma Jianye Hao Yujing Hu Yan Zheng Tangjie Lv Changjie Fan OffRL 42 2 0 27 Jun 2023
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches Dimia Iberraken Lounis Adouane 8 1 0 29 May 2023
Deep Reinforcement Learning-Based Control for Stomach Coverage Scanning of Wireless Capsule Endoscopy Yameng Zhang Long Bai Li Liu Hongliang Ren Max Q.-H. Meng 6 9 0 18 May 2023
Towards Theoretical Understanding of Data-Driven Policy Refinement Ali Baheri 19 0 0 11 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 25 2 0 09 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 27 75 0 07 May 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 27 0 0 25 Apr 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 24 1 0 24 Apr 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 53 7 0 24 Apr 2023
UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment Xuyang Li Jianwu Fang Kai Du K. Mei Jianru Xue 11 6 0 07 Apr 2023
Adaptive Failure Search Using Critical States from Domain Experts Peter Du Katherine Driggs-Campbell 13 10 0 01 Apr 2023
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys Long Chen Yuchen Li Chao Huang Bai Li Yang Xing ... Chen Lv Jinjun Wang Dongpu Cao N. Zheng Feiyue Wang 41 296 0 30 Mar 2023
Does Sparsity Help in Learning Misspecified Linear Bandits? Jialin Dong Lin F. Yang 17 1 0 29 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 24 28 0 14 Mar 2023
Communication-Critical Planning via Multi-Agent Trajectory Exchange Nathan Glaser Z. Kira 22 2 0 10 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 31 3 0 07 Mar 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 26 13 0 15 Feb 2023
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 29 17 0 08 Feb 2023
Open Problems and Modern Solutions for Deep Reinforcement Learning Weiqin Chen OffRL 11 0 0 05 Feb 2023