Deep reinforcement learning-based preventive maintenance for repairable machines with deterioration in a flow line system
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10479-024-06207-x.pdf
Reference37 articles.
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4. Bragin, M. A., Luh, P. B., Yan, B., & Sun, X. (2018). A scalable solution methodology for mixed-integer linear programming problems arising in automation. IEEE Transactions on Automation Science and Engineering, 16(2), 531–541.
5. Brys, T., Harutyunyan, A., Vrancx, P., Nowé, A., & Taylor, M. E. (2017). Multi-objectivization and ensembles of shapings in reinforcement learning. Neurocomputing, 263, 48–59.
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