Deep Reinforcement Learning framework for Autonomous Driving

8 April 2017

Papers citing "Deep Reinforcement Learning framework for Autonomous Driving"

50 / 297 papers shown

Title
Towards Optimal Differentially Private Regret Bounds in Linear MDPs Sharan Sahu 60 0 0 12 Apr 2025
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions Milad Rahmati 53 0 0 12 Mar 2025
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches D. Elbaz Oren Salzman OffRL 32 0 0 13 Feb 2025
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses Mohammed Aledhari Rehma Razzak Mohamed Rahouti Abbas Yazdinejad R. Parizi Basheer Qolomany Mohsen Guizani Junaid Qadir Ala I. Al-Fuqaha AAML 150 1 0 06 Feb 2025
Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes Zijian Wang Bin Wang Mingwen Shao Hongbo Dou Boxiang Tao 36 0 0 06 Jan 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots H. Zhang Xiaoman Pan Hongwei Wang Kaixin Ma W. Yu Dong Yu LLMAG 64 3 0 03 Jan 2025
Upside-Down Reinforcement Learning for More Interpretable Optimal Control Juan Cardenas-Cartagena Massimiliano Falzari Marco Zullich Matthia Sabatelli OffRL 72 0 0 18 Nov 2024
Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning Yuting Tang Xin-Qiang Cai Jing-Cheng Pang Qiyu Wu Yao-Xiang Ding Masashi Sugiyama OffRL 28 0 0 26 Oct 2024
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 36 0 0 24 Oct 2024
Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making Rongliang Zhou Jiakun Huang Mingjun Li Hepeng Li Haotian Cao Xiaolin Song 26 0 0 18 Oct 2024
Multi-Agent Actor-Critics in Autonomous Cyber Defense Mingjun Wang Remington Dechene 26 0 0 11 Oct 2024
Review of Cloud Service Composition for Intelligent Manufacturing Cuixia Li Liqiang Liu Li Shi 24 0 0 03 Aug 2024
Formal Ethical Obligations in Reinforcement Learning Agents: Verification and Policy Updates Colin Shea-Blymyer Chaoli Wang 35 0 0 31 Jul 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning Tung M. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 28 0 0 31 Jul 2024
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale Wei Gao Bo Ai Joel Loo Vinay David Hsu 49 1 0 03 Jul 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning Junkai Zhang Yifan Zhang Xi Sheryl Zhang Yifan Zang Jian Cheng 41 4 0 26 Jun 2024
Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach M. Berahman M. Rostami-Shahrbabaki Klaus Bogenberger 27 0 0 20 Jun 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective Muhammad Aneeq uz Zaman Mathieu Laurière Alec Koppel Tamer Basar 42 3 0 20 Jun 2024
Generating and Evolving Reward Functions for Highway Driving with Large Language Models Xu Han Qiannan Yang Xianda Chen Xiaowen Chu Meixin Zhu 58 4 0 15 Jun 2024
Enhancing Differential Testing With LLMs For Testing Deep Learning Libraries Meiziniu Li Dongze Li Jianmeng Liu Jialun Cao Yongqiang Tian Shing-Chi Cheung 47 1 0 12 Jun 2024
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation Shojiro Yamabe Kazuto Fukuchi Jun Sakuma AAML 63 0 0 06 Jun 2024
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space Qian Liu Yufei Kuang Jie Wang AAML 21 2 0 20 May 2024
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring Kaichen Huang Minghao Shao Shenghua Wan Hai-Hang Sun Shuai Feng Le Gan De-Chuan Zhan 32 0 0 04 Apr 2024
LORD: Large Models based Opposite Reward Design for Autonomous Driving Xin Ye Feng Tao Abhirup Mallik Burhaneddin Yaman Liu Ren OffRL 37 2 0 27 Mar 2024
Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward Deepthi Pathare Leo Laine M. Chehreghani 37 1 0 11 Mar 2024
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation Di Zhang Moyang Wang Joseph D Mango Xiang Li Xianrui Xu 45 1 0 06 Mar 2024
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization Yuan Lin Antai Xie Xiao Liu 49 1 0 05 Mar 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 40 6 0 04 Mar 2024
Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control Hang Zhou Heye Huang Peng Zhang Haotian Shi Keke Long Xiaopeng Li 21 1 0 18 Feb 2024
Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on a Custom Track Environment Sagar Pathak Bidhya Shrestha Kritish Pahi 13 0 0 13 Feb 2024
Savvy: Trustworthy Autonomous Vehicles Architecture Ali Shoker Rehana Yasmin Paulo Esteves-Verissimo 33 0 0 08 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
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size Junlin Liu Xinchen Lyu AAML 33 3 0 24 Jan 2024
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability Rodrigo Coelho André Sequeira Luis Paulo Santos 37 9 0 21 Jan 2024
LangProp: A code optimization framework using Large Language Models applied to driving Shu Ishida Gianluca Corrado George Fedoseev Hudson Yeo Lloyd Russell Jamie Shotton João F. Henriques Anthony Hu 59 11 0 18 Jan 2024
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning Mohamad Abed El Rahman Hammoud Naila Raboudi E. Titi Omar Knio Ibrahim Hoteit AI4CE 25 2 0 01 Jan 2024
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles Xiaoxue Yu Rongpeng Li Chengchao Liang Zhifeng Zhao 25 0 0 15 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 30 5 0 11 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service Meiying Zhang Huan Zhao Sheldon C Ebron Ruitao Xie Kan Yang 16 1 0 05 Dec 2023
Monitor Placement for Fault Localization in Deep Neural Network Accelerators Wei-Kai Liu 25 0 0 28 Nov 2023
Low-Rank MDPs with Continuous Action Spaces Andrew Bennett Nathan Kallus M. Oprescu 33 2 0 06 Nov 2023
Environmental-Impact Based Multi-Agent Reinforcement Learning Farinaz Alamiyan Harandi Pouria Ramazi 11 1 0 06 Nov 2023
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 33 2 0 28 Oct 2023
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data Rohan Gupta LLMSV 24 0 0 22 Oct 2023
Reward Shaping for Happier Autonomous Cyber Security Agents Elizabeth Bates V. Mavroudis Chris Hicks 16 11 0 20 Oct 2023
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data Chengjie Lu T. Yue Man Zhang Shaukat Ali 27 8 0 08 Oct 2023
Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles Noah Golowich Ankur Moitra Dhruv Rohatgi 22 5 0 18 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 26 8 0 04 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 41 4 0 03 Sep 2023