Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles

Published:2021-06-10 Issue:7 Volume:36 Page:838-857
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Chen Sikai¹²³,Dong Jiqian¹²,Ha Paul (Young Joun)¹²,Li Yujie¹²,Labi Samuel¹²

Affiliation:

1. Center for Connected and Automated Transportation (CCAT) Purdue University West Lafayette Indiana USA

2. Lyles School of Civil Engineering Purdue University West Lafayette Indiana USA

3. Robotics Institute, School of Computer Science Carnegie Mellon University Pittsburgh Pennsylvania USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12702

Reference88 articles.

1. A dynamic ensemble learning algorithm for neural networks

2. Enhanced probabilistic neural network with local decision circles: A robust classifier

3. Alamaniotis M. Agarwal V. &Jevremovic T.(2014).Anticipatory monitoring and control of complex energy systems using a fuzzy based fusion of support vector regressors.The 5th International Conference on Information Intelligence Systems and Applications (IISA 2014) Chania Greece.

4. Applications of graph theory in chemistry;Balaban A. T.;Journal of Chemical Information and Computer Sciences,1985

5. Encoder–decoder network for pixel‐level road crack detection in black‐box images

Cited by 131 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. Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving;Communications in Transportation Research;2024-12

2. High-speed railway express delivery volume forecast based on data-driven ensemble forecast approaches: The China case;Expert Systems with Applications;2024-12

3. Exploring heterophily in calibration of graph neural networks;Neurocomputing;2024-11

4. A Cooperative Control Methodology Considering Dynamic Interaction for Multiple Connected and Automated Vehicles in the Merging Zone;IEEE Transactions on Intelligent Transportation Systems;2024-09

5. Intelligent design of enveloping tubular staggered flange joints based on GAT;Journal of Constructional Steel Research;2024-09

同舟云学术

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