Deep Reinforcement Learning framework for Autonomous Driving

8 April 2017

Papers citing "Deep Reinforcement Learning framework for Autonomous Driving"

50 / 297 papers shown

Title
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving Se-Wook Yoo Chan Kim Jinwon Choi Seong-Woo Kim Seung-Woo Seo 19 8 0 03 Jun 2022
Offline Reinforcement Learning with Differential Privacy Dan Qiao Yu-Xiang Wang OffRL 36 23 0 02 Jun 2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies Yu Wang Fang Liu 16 0 0 23 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 115 237 0 20 May 2022
Model Agnostic Local Explanations of Reject André Artelt Roel W. Visser Barbara Hammer FAtt 27 7 0 16 May 2022
Self-Driving Car Steering Angle Prediction: Let Transformer Be a Car Again Chingis Oinar Eunmin Kim LLMSV 11 5 0 27 Apr 2022
Model-free Learning of Regions of Attraction via Recurrent Sets Yue Shen Maxim Bichuch Enrique Mallada 9 8 0 21 Apr 2022
Safe Reinforcement Learning via Shielding under Partial Observability Steven Carr N. Jansen Sebastian Junges Ufuk Topcu 16 45 0 02 Apr 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Bo-wen Li AAML OffRL 24 34 0 16 Mar 2022
Investigation of Factorized Optical Flows as Mid-Level Representations Hsuan-Kung Yang Tsu-Ching Hsiao Tingbo Liao Hsu-Shen Liu Li-Yuan Tsao Tzu-Wen Wang Shan Yang Yu-Wen Chen Huang-ru Liao Chun-Yi Lee 25 3 0 09 Mar 2022
The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model Shuyue Hu Chin-wing Leung Ho-fung Leung Harold Soh 22 4 0 03 Mar 2022
Shaping Advice in Deep Reinforcement Learning Baicen Xiao Bhaskar Ramasubramanian Radha Poovendran 25 0 0 19 Feb 2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving Yinuo Zhao Kun Wu Zhiyuan Xu Zhengping Che Qi Lu Jian Tang C. Liu 28 26 0 17 Feb 2022
Explaining Reject Options of Learning Vector Quantization Classifiers André Artelt Johannes Brinkrolf Roel W. Visser Barbara Hammer FAtt 4 8 0 15 Feb 2022
Development and Validation of an AI-Driven Model for the La Rance Tidal Barrage: A Generalisable Case Study Túlio Marcondes Moreira Jackson Geraldo de Faria Pedro O. S. Vaz de Melo G. Medeiros-Ribeiro 17 3 0 10 Feb 2022
Group-Agent Reinforcement Learning Kaiyue Wu Xiaoming Zeng OOD OffRL 12 3 0 10 Feb 2022
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning Hao Chen Yu Ye Ming Xiao Mikael Skoglund 19 3 0 07 Feb 2022
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints Yuhao Ding Javad Lavaei 16 10 0 28 Jan 2022
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections Zhengwei Bai Peng Hao ShangGuan Wei B. Cai Matthew J. Barth 11 100 0 19 Jan 2022
Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning Yitzhak Spielberg A. Azaria 8 0 0 13 Jan 2022
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning Baicen Xiao Bhaskar Ramasubramanian Radha Poovendran 19 4 0 12 Jan 2022
Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks Ziwen Wan Junjie Shen Jalen Chuang Xin Xia Joshua Garcia Jiaqi Ma Qi Alfred Chen AAML 19 31 0 12 Jan 2022
Self-directed Machine Learning Wenwu Zhu Xin Wang P. Xie 14 6 0 04 Jan 2022
An Intelligent Self-driving Truck System For Highway Transportation Dawei Wang Lingping Gao Ziquan Lan Wei Li Jiaping Ren ... Pei-Ting Zhou Shengao Wang Jia Pan Tianyi Zhou Ruigang Yang 17 14 0 31 Dec 2021
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 42 44 0 20 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 24 56 0 13 Dec 2021
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning Dailin Hu Pieter Abbeel Roy Fox 26 1 0 28 Nov 2021
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation Dylan J. Foster A. Krishnamurthy D. Simchi-Levi Yunzong Xu OffRL 19 62 0 21 Nov 2021
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 31 49 0 16 Nov 2021
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning Haitong Ma Changliu Liu Shengbo Eben Li Sifa Zheng Jianyu Chen 17 43 0 15 Nov 2021
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh J. Mullins AAML 22 3 0 08 Nov 2021
Extracting Expert's Goals by What-if Interpretable Modeling C. Chang George Adam Rich Caruana Anna Goldenberg OffRL 43 0 0 28 Oct 2021
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs Han Zhong Zhuoran Yang Zhaoran Wang Csaba Szepesvári 33 21 0 18 Oct 2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement Tianyu Shi Dong Chen Kaian Chen Zhaojian Li OffRL 34 31 0 13 Oct 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 28 1 0 22 Sep 2021
Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities Jeongwoo Oh Gunmin Lee Jeongeun Park Wooseok Oh Jaeseok Heo ... Do Hyung Kim B. Park Chang-Gun Lee Sungjoon Choi Songhwai Oh 12 3 0 16 Sep 2021
Deep Visual Navigation under Partial Observability Bo Ai Wei Gao Vinay David Hsu 15 10 0 16 Sep 2021
Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking Yizhen Dong Xingyu Zhao Xiaowei Huang 27 6 0 14 Sep 2021
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability Soumyabrata Talukder Ratnesh Kumar 11 7 0 13 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 18 13 0 12 Sep 2021
Quantum Machine Learning for Finance Marco Pistoia Syed Farhan Ahmad Akshay Ajagekar A. Buts Shouvanik Chakrabarti ... Pierre Minssen Pradeep Niroula Arthur G. Rattew Yue Sun Romina Yalovetzky AIFin 28 22 0 09 Sep 2021
Iterative Imitation Policy Improvement for Interactive Autonomous Driving Zhao-Heng Yin Chenran Li Liting Sun Masayoshi Tomizuka Wei Zhan OffRL 11 2 0 03 Sep 2021
Morphence: Moving Target Defense Against Adversarial Examples Abderrahmen Amich Birhanu Eshete AAML 10 24 0 31 Aug 2021
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 6 8 0 31 Aug 2021
WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving Arjit Sharma Sahil Sharma 6 3 0 27 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 145 0 26 Aug 2021
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data Suphanut Jamonnak Ye Zhao Xinyi Huang Md. Amiruzzaman 27 20 0 20 Aug 2021
Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning Ziheng Wang Justin A. Sirignano 32 2 0 19 Aug 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces Ziyad Sheebaelhamd Konstantinos Zisis Athina Nisioti Dimitris Gkouletsos Dario Pavllo Jonas Köhler AI4CE 19 16 0 09 Aug 2021
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning Pratik Ramprasad Yuantong Li Zhuoran Yang Zhaoran Wang W. Sun Guang Cheng OffRL 50 26 0 08 Aug 2021