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Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics
We study regenerative stopping problems in which the system starts anew whenever the controller decides to stop and the long-term average cost is to be minimized.
Augmented Data Science: Towards Industrialization and Democratization of Data Science
Conversion of raw data into insights and knowledge requires substantial amounts of effort from data scientists.
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