HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand
Author:
Affiliation:
1. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
Funder
Key-Area Research and Development Program of Guangdong Province
National Natural Science Foundation of China
Chinese Academy of Sciences (CAS) Science and Technology Service Network Plan (STS) Dongguan Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9942712/09839295.pdf?arnumber=9839295
Reference53 articles.
1. Feudal networks for hierarchical reinforcement learning;vezhnevets;Proc 34th Int Conf Mach Learn (ICML),2017
2. Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation;kulkarni;Proc Adv Neural Inf Process Syst,2016
3. A Deep Reinforcement Learning Approach to Ride-Sharing Vehicle Dispatching in Autonomous Mobility-on-Demand Systems
4. Traffic signal timing via deep reinforcement learning;li;IEEE/CAA Journal of Automatica Sinica,2016
5. DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning
Cited by 8 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. Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning;IEEE Transactions on Intelligent Transportation Systems;2024-09
2. A dynamic region-division based pricing strategy in ride-hailing;Applied Intelligence;2024-08-15
3. Approximate Markov Perfect Equilibrium of Joint Offloading Policy for Multi-IV Using Reward-Shared Distributed Method;IEEE Transactions on Intelligent Vehicles;2024-02
4. RGMARL: Vehicle Dispatching Based on Road Information and Supply-Demand Distribution;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
5. Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling;IEEE/CAA Journal of Automatica Sinica;2023-09
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