Dr. Evelyn Gong: Reinforcement Learning Algorithms for Business Problems
Impossible d'ajouter des articles
Désolé, nous ne sommes pas en mesure d'ajouter l'article car votre panier est déjà plein.
Veuillez réessayer plus tard
Veuillez réessayer plus tard
Échec de l’élimination de la liste d'envies.
Veuillez réessayer plus tard
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
-
Lu par :
-
De :
À propos de ce contenu audio
Evelyn Xiao-Yue Gong is an Assistant Professor of OM at Tepper. She has a PhD from the ORC at MIT, where she was advised by David Simchi-Levi and Jim Orlin. She spent summers at Google Research, Microsoft, HelloFresh, and DE Shaw. Her main research pertains to AI for supply chain and sustainability. She also works on assortment optimization and data-driven decision making.
In the first half of the episode, we discuss her journey from being a PhD student to an assistant professor.
In the second half of the episode, we discuss her research on reinforcement algorithms, and some recent work on using these algorithms to solve a problem for packaging at HelloFresh.
Enjoy!
Vous êtes membre Amazon Prime ?
Bénéficiez automatiquement de 2 livres audio offerts.Bonne écoute !
Aucun commentaire pour le moment