Optimal navigation for AGVs: A soft actor–critic-based reinforcement learning approach with composite auxiliary rewards
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference39 articles.
1. A comparative review on mobile robot path planning: Classical or meta-heuristic methods?;Ab Wahab;Annu. Rev. Control,2020
2. Balancing computation speed and quality: A decentralized motion planning method for cooperative lane changes of connected and automated vehicles;Bai;IEEE Trans. Intell. Veh.,2018
3. Deep reinforcement learning for soft, flexible robots: Brief review with impending challenges;Bhagat;Robotics,2019
4. Socially aware motion planning with deep reinforcement learning;Chen,2017
5. Automated guided vehicle systems, state-of-the-art control algorithms and techniques;De Ryck;J. Manuf. Syst.,2020
Cited by 6 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. Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning;Neurocomputing;2024-12
2. Deep reinforcement learning based mapless navigation for industrial AMRs: advancements in generalization via potential risk state augmentation;Applied Intelligence;2024-07-13
3. Hybrid Centralized Training and Decentralized Execution Reinforcement Learning in Multi-Agent Path-Finding Simulations;Applied Sciences;2024-05-07
4. Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework;Ocean & Coastal Management;2024-05
5. A digital twin-based decision support approach for AGV scheduling;Engineering Applications of Artificial Intelligence;2024-04
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