Deep Reinforcement Learning framework for Autonomous Driving

8 April 2017

Papers citing "Deep Reinforcement Learning framework for Autonomous Driving"

50 / 297 papers shown

Title
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer Jinghua Zhang Chen Li Yi Yin Jiawei Zhang M. Grzegorzek 24 140 0 01 Aug 2021
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data Sampo Kuutti Saber Fallah Richard Bowden GAN 10 3 0 09 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning Di Wu R. Ullah P. Harvey Peter Kilpatrick I. Spence Blesson Varghese 42 78 0 09 Jul 2021
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles Zhitao Wang Yuzheng Zhuang Qiang Gu Dong Chen Hongbo Zhang Wulong Liu 14 9 0 08 Jul 2021
Explanation-Guided Diagnosis of Machine Learning Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 17 10 0 30 Jun 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 31 87 0 29 Jun 2021
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels Nader Zare Bruno Brandoli Mahtab Sarvmaili Amílcar Soares Stan Matwin 11 8 0 27 Jun 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators Zaiwei Chen S. T. Maguluri Sanjay Shakkottai Karthikeyan Shanmugam OffRL 20 10 0 24 Jun 2021
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chen Lv 13 7 0 23 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Bo-wen Li AAML OffRL 21 58 0 17 Jun 2021
Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin M. Geist OffRL 34 51 0 11 Jun 2021
Decentralized Q-Learning in Zero-sum Markov Games M. O. Sayin Kaipeng Zhang David S. Leslie Tamer Basar Asuman Ozdaglar 15 83 0 04 Jun 2021
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education Robin Henry D. Ernst 14 11 0 18 May 2021
DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling Yuping Fan Z. Lan 6 12 0 16 May 2021
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving Arash Mohammadhasani Hamed Mehrivash Alan Francis Lynch Zhan Shu 9 9 0 13 May 2021
Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control Feng Wang M. C. Gursoy Senem Velipasalar AAML 17 10 0 12 May 2021
Deeply-Debiased Off-Policy Interval Estimation C. Shi Runzhe Wan Victor Chernozhukov R. Song OffRL 12 35 0 10 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien Luu Anh Tuan Gregory D. Hager OffRL 41 20 0 03 May 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chao Huang Zhongxu Hu Peng Hang Yang Xing Chen Lv 26 40 0 15 Apr 2021
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack Luca Pajola Mauro Conti 6 28 0 13 Apr 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 21 6 0 13 Apr 2021
GPU Domain Specialization via Composable On-Package Architecture Yaosheng Fu Evgeny Bolotin Niladrish Chatterjee D. Nellans S. Keckler 20 12 0 05 Apr 2021
Shaping Advice in Deep Multi-Agent Reinforcement Learning Baicen Xiao Bhaskar Ramasubramanian Radha Poovendran 4 5 0 29 Mar 2021
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving Briti Gangopadhyay Harshit Soora P. Dasgupta 16 34 0 25 Mar 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence Yang Guan Yangang Ren Qi Sun Shengbo Eben Li Haitong Ma Jingliang Duan Yifan Dai B. Cheng 10 65 0 18 Mar 2021
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification Lichao Mou Sudipan Saha Yuansheng Hua F. Bovolo Lorenzo Bruzzone Xiaoxiang Zhu 19 75 0 15 Mar 2021
Learning robust driving policies without online exploration D. Graves Nhat M. Nguyen Kimia Hassanzadeh Jun Jin Jun Luo OffRL 6 2 0 15 Mar 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems Robin Henry D. Ernst 19 34 0 14 Mar 2021
Delegation to autonomous agents promotes cooperation in collective-risk dilemmas Elias Fernández Domingos Ines Terrucha Rémi Suchon Jelena Grujić J. C. Burguillo Francisco C. Santos Tom Lenaerts 6 7 0 13 Mar 2021
Reducing Conservativeness Oriented Offline Reinforcement Learning Hongchang Zhang Jianzhun Shao Yuhang Jiang Shuncheng He Xiangyang Ji OffRL 24 6 0 27 Feb 2021
Off-Policy Imitation Learning from Observations Zhuangdi Zhu Kaixiang Lin Bo Dai Jiayu Zhou OffRL 21 86 0 25 Feb 2021
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting Ismat Jarin Birhanu Eshete 26 18 0 19 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 17 144 0 16 Feb 2021
Deep Reinforcement Agent for Scheduling in HPC Yuping Fan Z. Lan T. Childers Paul M. Rich W. Allcock M. Papka 14 35 0 11 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 11 17 0 10 Feb 2021
PredCoin: Defense against Query-based Hard-label Attack Junfeng Guo Yaswanth Yadlapalli Lothar Thiele Ang Li Cong Liu AAML 23 0 0 04 Feb 2021
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges Xin Chen Guannan Qu Yujie Tang S. Low Na Li 24 227 0 27 Jan 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 67 162 0 21 Jan 2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning Jinning Li Liting Sun Jianyu Chen Masayoshi Tomizuka Wei Zhan 14 44 0 17 Jan 2021
Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision Ali Taghibakhshi Nathan Ogden Matthew West 12 4 0 15 Jan 2021
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines Gustavo de Rosa Mateus Roder João Paulo Papa OOD 13 1 0 04 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Erik Cambria OffRL 44 73 0 01 Jan 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach Amin Nikanjam Mohammad Mehdi Morovati Foutse Khomh Houssem Ben Braiek 27 30 0 01 Jan 2021
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space Majid Moghadam Ali Alizadeh Engin Tekin G. Elkaim 11 12 0 26 Nov 2020
Imagination-enabled Robot Perception Patrick Mania Franklin Kenghagho Kenfack Michael Neumann Michael Beetz 6 7 0 23 Nov 2020
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models Nan Wu Pengcheng Li 12 7 0 13 Nov 2020
Reliable Off-policy Evaluation for Reinforcement Learning Jie Wang Rui Gao H. Zha OffRL 22 11 0 08 Nov 2020
Motion Prediction on Self-driving Cars: A Review Shahrokh Paravarzar Belqes Mohammad 23 12 0 06 Nov 2020
Energy-based error bound of physics-informed neural network solutions in elasticity Mengwu Guo E. Haghighat PINN 48 28 0 18 Oct 2020