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
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach Yigit Gurses Kaan Buyukdemirci Y. Yildiz 23 5 0 04 Feb 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation Uri Sherman Tomer Koren Yishay Mansour 32 12 0 30 Jan 2023
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving Dikshant Gupta Matthias Klusch 15 2 0 30 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen E. Hossain Zhifeng Zhao Honggang Zhang 29 19 0 16 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 34 4 0 12 Dec 2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Q. Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 33 26 0 12 Dec 2022
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks Altun Rzayev Vahid Tavakol Aghaei OffRL 19 0 0 11 Dec 2022
Automata Learning meets Shielding Martin Tappler Stefan Pranger Bettina Könighofer Edi Muškardin Roderick Bloem Kim G. Larsen 23 4 0 04 Dec 2022
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces Elie Aljalbout Maximilian Karl Patrick van der Smagt 19 5 0 28 Nov 2022
Offline Reinforcement Learning with Adaptive Behavior Regularization Yunfan Zhou Xijun Li Qingyu Qu OffRL 19 1 0 15 Nov 2022
Design Process is a Reinforcement Learning Problem Reza kakooee Benjamin Dillunberger OffRL 19 0 0 06 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges Qi Liu Xueyuan Li Zirui Li Jingda Wu Guodong Du Xinlu Gao Fan Yang Shihua Yuan 38 8 0 06 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 13 52 0 03 Nov 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 27 14 0 26 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 39 4 0 19 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 30 26 0 10 Oct 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 29 42 0 04 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 21 5 0 21 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 55 5 0 15 Sep 2022
Reward Delay Attacks on Deep Reinforcement Learning Anindya Sarkar Jiarui Feng Yevgeniy Vorobeychik Christopher Gill Ning Zhang AAML 13 6 0 08 Sep 2022
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification Min-Yu Wu Fangwei Zhong Yulong Xia Hao Dong OOD 30 17 0 02 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving Haochen Liu Zhiyu Huang Xiaoyu Mo Chen Lv ViT OffRL 25 33 0 24 Aug 2022
OLLIE: Derivation-based Tensor Program Optimizer Liyan Zheng Haojie Wang Jidong Zhai Muyan Hu Zixuan Ma Tuowei Wang Shizhi Tang Lei Xie Kezhao Huang Zhihao Jia 38 3 0 02 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 2022
Using Neural Networks by Modelling Semi-Active Shock Absorber Moritz Zink M. Schiele V. Ivanov 16 0 0 19 Jul 2022
Offline Equilibrium Finding Shuxin Li Xinrun Wang Youzhi Zhang Jakub Cerny Pengdeng Li Hau Chan Bo An OffRL 41 2 0 12 Jul 2022
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning Prakruthi Prabhakar Yiping Yuan Guangyu Yang Wensheng Sun A. Muralidharan OffRL 22 6 0 07 Jul 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning Paolo Maramotti Alessandro Paolo Capasso Giulio Bacchiani A. Broggi 30 9 0 05 Jul 2022
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality Rex Chen Fei Fang Norman M. Sadeh 30 8 0 23 Jun 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing Yuke Wang Boyuan Feng Z. Wang Tong Geng Ang Li Yufei Ding AI4CE 44 0 0 16 Jun 2022
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning He-lu Huang Z. Li Dongkun Han 27 2 0 16 Jun 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm Qinbo Bai Amrit Singh Bedi Vaneet Aggarwal 24 20 0 12 Jun 2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments Linh Kästner Teham Bhuiyan T. Le Elias Treis Johanne Cox ... Reyk Carstens Duc Pichel Bassel Fatloun Niloufar Khorsandi Jens Lambrecht 25 36 0 12 Jun 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey Abdul Rahman Sani M. Hassan Jinjun Chen 28 10 0 17 May 2022
Search-Based Testing of Reinforcement Learning Martin Tappler Filip Cano Córdoba B. Aichernig Bettina Könighofer ELM OffRL 17 23 0 07 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 18 322 0 02 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Bin Zhang Yuan Zhan Yunru Bai Guoliang Fan OffRL 19 6 0 20 Apr 2022
RL4ReAl: Reinforcement Learning for Register Allocation S. VenkataKeerthy Siddhartha Jain Anilava Kundu Rohit Aggarwal Albert Cohen Ramakrishna Upadrasta OffRL 25 5 0 05 Apr 2022
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling Mansur Arief Zhepeng Cen Zhen-Yan Liu Zhiyuan Huang H. Lam Bo-wen Li Ding Zhao UQCV 16 2 0 04 Apr 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 25 11 0 20 Mar 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control Ruijie Zhu Lulu Li Shuning Wu Pei Lv Yafai Li Mingliang Xu 26 48 0 08 Mar 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 24 0 0 15 Feb 2022
Scenario-Assisted Deep Reinforcement Learning Raz Yerushalmi Guy Amir Achiya Elyasaf D. Harel Guy Katz Assaf Marron OffRL 8 12 0 09 Feb 2022
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms Seongin Na Tomáš Rouček Jiří Ulrich Jan Pikman T. Krajník Barry Lennox F. Arvin 23 34 0 02 Feb 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence Pengjin Wei Kun Guo Ye Li Jue Wang W. Feng Shi Jin Ning Ge Ying-Chang Liang 21 45 0 27 Jan 2022
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems Andrea Stocco Brian Pulfer Paolo Tonella 19 67 0 21 Dec 2021
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios Kaiwen Liu Nan I. Li H. E. Tseng I. Kolmanovsky Anouck Girard 18 54 0 14 Dec 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 22 79 0 22 Nov 2021
Towards Safe, Explainable, and Regulated Autonomous Driving Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 26 11 0 20 Nov 2021