A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
Author:
Affiliation:
1. University of Delaware,Department of Mechanical Engineering,Newark,USA,DE 19716
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867314.pdf?arnumber=9867314
Reference37 articles.
1. Deep reinforcement learning and transportation research: A comprehensive review;farazi,2020
2. Cooperative Highway Work Zone Merge Control Based on Reinforcement Learning in a Connected and Automated Environment
3. Building a lane merge coordination for connected vehicles using deep reinforcement learning;nassef;IEEE Internet of Things Journal,2020
4. Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning
5. New stochastic approximation type procedures;polyak;Automat i Telemekh,1990
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Graph-based multi agent reinforcement learning for on-ramp merging in mixed traffic;Applied Intelligence;2024-04
2. Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios;IEEE Transactions on Control Systems Technology;2024
3. Multi-Skill Policy Transfer by Option-based Deep Reinforcement Learning for Autonomous Driving;2023 9th International Conference on Big Data Computing and Communications (BigCom);2023-08-04
4. On-Ramp Merging for Highway Autonomous Driving: An Application of a New Safety Indicator in Deep Reinforcement Learning;Automotive Innovation;2023-08
5. Multi-agent reinforcement learning for autonomous vehicles: a survey;Autonomous Intelligent Systems;2022-11-16
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3