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A review on reinforcement learning algorithms and applications in supply chain management
Rolf, Benjamin; Jackson, Ilya; Müller, Marcel; Lang, … - In: International journal of production research 61 (2023) 20, pp. 7151-7179
Persistent link: https://www.econbiz.de/10014383285
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Matrix evolutions : synthetic correlations and explainable machine learning for constructing robust investment portfolios
Papenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; … - In: The journal of financial data science 3 (2021) 2, pp. 51-69
Persistent link: https://www.econbiz.de/10012519242
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A machine learning approach in regime-switching risk parity portfolios
Uysal, A. Sinem; Mulvey, John M. - In: The journal of financial data science 3 (2021) 2, pp. 87-108
Persistent link: https://www.econbiz.de/10012519262
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Interpretable machine learning for diversified portfolio construction
Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; … - In: The journal of financial data science 3 (2021) 3, pp. 31-51
Persistent link: https://www.econbiz.de/10012613536
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Does the CFTC report have predictive power : machine learning approach
Proskurin, Oleksandr - In: The journal of financial data science 3 (2021) 3, pp. 139-151
Persistent link: https://www.econbiz.de/10012613556
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Intelligent scheduling of discrete automated production line via deep reinforcement learning
Shi, Daming; Fan, Wenhui; Xiao, Yingying; Lin, Tingyu; … - In: International journal of production research 58 (2020) 11, pp. 3362-3380
Persistent link: https://www.econbiz.de/10012265402
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Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach
Maiyar, Lohithaksha M.; Cho, SangJe; Tiwari, Manoj Kumar; … - In: International journal of production research 57 (2019) 10, pp. 3099-3120
Persistent link: https://www.econbiz.de/10012193244
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Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments
Priore, Paolo; Ponte, Borja; Rosillo, Rafael; Fuente, … - In: International journal of production research 57 (2019) 11, pp. 3663-3677
Persistent link: https://www.econbiz.de/10012193317
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Deep reinforcement learning in production systems : a systematic literature review
Panzer, Marcel; Bender, Benedict - In: International journal of production research 60 (2022) 13, pp. 4316-4341
Persistent link: https://www.econbiz.de/10013499831
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End-to-end on-line rescheduling from Gantt chart images using deep reinforcement learning
Palombarini, Jorge Andrés; Martínez, Ernesto Carlos - In: International journal of production research 60 (2022) 14, pp. 4434-4463
Persistent link: https://www.econbiz.de/10013499854