A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems-Reference-Cited by-同舟云学术

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A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems

Published:2022 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wei Qinglai¹^ORCID,Yan Yutian¹,Zhang Jie¹^ORCID,Xiao Jun²^ORCID,Wang Cong³^ORCID

Affiliation:

1. Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China

2. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

3. Hong Kong Applied Science and Technology Research Institute Company Ltd, Hong Kong, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

National Defense Basic Scientific Research Program of China

Science and Technology Development Fund, Macau SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09967762.pdf?arnumber=9967762

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. GVP-RRT: a grid based variable probability Rapidly-exploring Random Tree algorithm for AGV path planning;Complex & Intelligent Systems;2024-08-19

2. Dispatching AGVs with battery constraints using deep reinforcement learning;Computers & Industrial Engineering;2024-01

3. Automated Guided Vehicle Scheduling Problem in Manufacturing Workshops: An Adaptive Parallel Evolutionary Algorithm;IEEE Transactions on Automation Science and Engineering;2024

4. Simulation Analysis of a Reinforcement-Learning-Based Warehouse Dispatching Method Considering due Date and Travel Distance;2023 Winter Simulation Conference (WSC);2023-12-10

5. Optimal navigation for AGVs: A soft actor–critic-based reinforcement learning approach with composite auxiliary rewards;Engineering Applications of Artificial Intelligence;2023-09

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