Deep reinforcement learning for continuous wood drying production line control-Reference-Cited by-同舟云学术

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Deep reinforcement learning for continuous wood drying production line control

Published:2024-01 Issue: Volume:154 Page:104036
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Tremblay François-Alexandre^ORCID,Durand Audrey^ORCID,Morin Michael^ORCID,Marier Philippe,Gaudreault Jonathan^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference60 articles.

1. Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints;Altenmüller;Prod. Eng.,2020

2. An Optimization and Simulation Framework for Integrated Tactical Planning of Wood Harvesting Operations and Lumber Production;Arabi,2013

3. Discrete-Event System Simulation;Banks,2010

4. Optitek on-line for sawmill monitoring;Bédard,2008

5. Distributed structured actor-critic reinforcement learning for universal dialogue management;Chen,2020

Cited by 1 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. Optimization of the Stacking Process of Wire Mesh Coils in Industrial Processors;Communications in Computer and Information Science;2024

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