DEEP REINFORCEMENT LEARNING FOR AUTONOMOUS CONTROL OF MANUFACTURING SYSTEMS IN VOCATIONAL EDUCATION: A COMPARATIVE ANALYSIS, 163-174.
In view of the existing problems of manufacturing system intraditional vocational education, such as insufficient data acquisitionability, low autonomous learning ability, and lack of intelligentdecision accuracy, deep reinforcement learning is applied tomanufacturing system control in vocational education throughcomparative analysis, so as to optimise and solve the existingproblems.
Authors
- Haoran Li (ORCID: https://orcid.org/0000-0001-8477-6583)
- Dongmei Wang (ORCID: https://orcid.org/0000-0002-9588-7112)
- Yimeng Li (ORCID: https://orcid.org/0000-0002-5823-039X)
- Lei Liu (ORCID: https://orcid.org/0000-0001-6846-8492)
Publication Details
- Journal
- International Journal of Robotics and Automation
- Published
- 2024-12-19
- DOI
- https://doi.org/10.2316/j.2025.206-1106
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00