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A supply chain inventory management method for civil aircraft manufacturing based on multi-agent reinforcement learning
M Piao, D Zhang, H Lu, R Li - Applied Sciences, 2023 - mdpi.com
Effective supply chain inventory management is crucial for large-scale manufacturing
industries such as civil aircraft and automobile manufacturing to ensure efficient …
industries such as civil aircraft and automobile manufacturing to ensure efficient …
Combining simulation and reinforcement learning to reduce food waste in food retail
Extraordinary amounts of fresh produce are never purchased and are discarded as waste.
Reinforcement learning (RL) could serve as a means to improve business profits while …
Reinforcement learning (RL) could serve as a means to improve business profits while …
Distributional reinforcement learning with dual expectile-quantile regression
Distributional reinforcement learning (RL) has proven useful in multiple benchmarks as it
enables approximating the full distribution of returns and makes a better use of environment …
enables approximating the full distribution of returns and makes a better use of environment …
[BOOK][B] User-oriented recommender systems in retail
M Ariannezhad - 2023 - core.ac.uk
A primary objective of every service provider system is to fulfill its users' needs [57, 140].
Irrespective of the nature of the service, encompassing domains such as media …
Irrespective of the nature of the service, encompassing domains such as media …
[BOOK][B] Taming the Dynamics of Recommender Systems
R Deffayet - 2024 - irlab.science.uva.nl
When you start doing research on recommender systems, you get surprisingly quickly
accustomed to certain idiomatic phrases: preference and information need, relevance and …
accustomed to certain idiomatic phrases: preference and information need, relevance and …