Deep Reinforcement Learning framework for Autonomous Driving

8 April 2017

Papers citing "Deep Reinforcement Learning framework for Autonomous Driving"

50 / 297 papers shown

Title
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 27 18 0 13 Oct 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network Jiqian Dong Sikai Chen P. Ha Yujie Li S. Labi 13 37 0 12 Oct 2020
Online Optimal Control with Affine Constraints Yingying Li Subhro Das Na Li 10 40 0 10 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 35 48 0 07 Oct 2020
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges Liangkai Liu Sidi Lu Ren Zhong Baofu Wu Yongtao Yao Qingyan Zhang Weisong Shi 14 267 0 30 Sep 2020
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World P. Almási Róbert Moni Bálint Gyires-Tóth 6 32 0 23 Sep 2020
Multi-Agent Reinforcement Learning in Cournot Games Yuanyuan Shi Baosen Zhang 11 7 0 14 Sep 2020
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow R. Xu Dongxiao Zhang Miao Rong Nanzhe Wang AI4CE 26 48 0 08 Sep 2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles Fei Ye Pin Wang Ching-yao Chan Jiucai Zhang 9 19 0 28 Aug 2020
Reducing Sampling Error in Batch Temporal Difference Learning Brahma S. Pavse Ishan Durugkar Josiah P. Hanna Peter Stone OffRL 9 12 0 15 Aug 2020
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy Zuyue Fu Zhuoran Yang Zhaoran Wang 15 42 0 02 Aug 2020
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents Pablo V. A. Barros Ana Tanevska Francisco Cruz A. Sciutti 17 13 0 30 Jul 2020
Learning Accurate and Human-Like Driving using Semantic Maps and Attention Simon Hecker Dengxin Dai Alexander Liniger Luc Van Gool 24 22 0 10 Jul 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 21 174 0 10 Jul 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 31 65 0 01 Jul 2020
Learning predictive representations in autonomous driving to improve deep reinforcement learning D. Graves Nhat M. Nguyen Kimia Hassanzadeh Jun Jin SSL 24 12 0 26 Jun 2020
Safety-guaranteed Reinforcement Learning based on Multi-class Support Vector Machine Kwangyeon Kim Akshita Gupta Hong Choi Inseok Hwang 8 0 0 12 Jun 2020
Borrowing From the Future: Addressing Double Sampling in Model-free Control Yuhua Zhu Zachary Izzo Lexing Ying 9 4 0 11 Jun 2020
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents Anil Öztürk Mustafa Burak Gunel Melih Dal M. U. Yavas N. K. Üre 24 4 0 10 Jun 2020
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains James Bannon Bradford T. Windsor Wenbo Song Tao Li CML OOD OffRL 26 20 0 03 Jun 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie L. Ma Yan Zheng Kangjie Chen Yang Liu AAML 16 112 0 14 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 6 654 0 12 May 2020
Learning hierarchical behavior and motion planning for autonomous driving Jingke Wang Yue Wang Dongkun Zhang Yezhou Yang R. Xiong 11 34 0 08 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 15 453 0 02 May 2020
TS-MPC for Autonomous Vehicle using a Learning Approach Eugenio Alcalá O. Sename V. Puig J. Quevedo 9 16 0 29 Apr 2020
In-Vehicle Object Detection in the Wild for Driverless Vehicles Ranjith Dinakaran Li Zhang Richard M. Jiang 11 2 0 27 Apr 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library Dmitry Kazhdan Z. Shams Pietro Lió 35 15 0 16 Apr 2020
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game Pablo V. A. Barros Ana Tanevska A. Sciutti 17 21 0 08 Apr 2020
RACE: Reinforced Cooperative Autonomous Vehicle Collision AvoidancE Yali Yuan Robert Tasik S. S. Adhatarao Yachao Yuan Zheli Liu Xiaoming Fu 23 36 0 02 Apr 2020
A copula-based visualization technique for a neural network Y. Kubo Yuto Komori T. Okuyama Hiroshi Tokieda FAtt 12 0 0 27 Mar 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 29 16 0 24 Mar 2020
Efficient Behavior-aware Control of Automated Vehicles at Crosswalks using Minimal Information Pedestrian Prediction Model Suresh Kumaar Jayaraman L. Robert Xi Jessie Yang A. Pradhan Dawn M. Tilbury 13 11 0 22 Mar 2020
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks Liyuan Zheng Yuanyuan Shi Lillian J. Ratliff Baosen Zhang 11 19 0 20 Mar 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 33 260 0 19 Mar 2020
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems Yue Wang Esha Sarkar Wenqing Li Michail Maniatakos S. Jabari AAML 20 60 0 17 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
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 58 63 0 02 Mar 2020
Optimal Feature Manipulation Attacks Against Linear Regression Fuwei Li Lifeng Lai Shuguang Cui AAML 12 2 0 29 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 32 3 0 27 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 32 65 0 10 Feb 2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning Fei Ye Xuxin Cheng Pin Wang Ching-yao Chan Jiucai Zhang 21 98 0 07 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 30 51 0 06 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving Ekim Yurtsever L. Capito Keith A. Redmill Ü. Özgüner 11 18 0 02 Feb 2020
Constrained Upper Confidence Reinforcement Learning Liyuan Zheng Lillian J. Ratliff 28 67 0 26 Jan 2020
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning Zhensong Wei Yu Jiang Xishun Liao Xuewei Qi Ziran Wang Guoyuan Wu Peng Hao Matthew J. Barth 17 10 0 24 Jan 2020
Memristor Hardware-Friendly Reinforcement Learning Nan Wu A. Vincent D. Strukov Yuan Xie 9 1 0 20 Jan 2020
Self-Driving Car Steering Angle Prediction Based on Image Recognition Shuyang Du Haoli Guo Andrew Simpson LLMSV 11 86 0 11 Dec 2019
Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning Tinghao Zhang Jing Luo Ping Chen Jie Liu AI4CE 11 5 0 01 Dec 2019