Dr. Evelyn Gong: Reinforcement Learning Algorithms for Business Problems
Échec de l'ajout au panier.
Veuillez réessayer plus tard
Échec de l'ajout à la liste d'envies.
Veuillez réessayer plus tard
Échec de la suppression de la liste d’envies.
Veuillez réessayer plus tard
Échec du suivi du balado
Ne plus suivre le balado a échoué
Dr. Evelyn Gong: Reinforcement Learning Algorithms for Business Problems
-
Narrateur(s):
-
Auteur(s):
À propos de cet audio
Send us a text
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!
Ce que les auditeurs disent de Dr. Evelyn Gong: Reinforcement Learning Algorithms for Business Problems
Moyenne des évaluations de clientsÉvaluations – Cliquez sur les onglets pour changer la source des évaluations.
Il n'y a pas encore de critiques pour ce titre.