Profil

Evers Justine

HEC Liège : UER > UER Opérations : Informatique de gestion

HEC Liège Research

HEC Liège Research: Business Analytics & Supply Chain Mgmt

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Main Referenced Co-authors
Schyns, Michael  (3)
Main Referenced Disciplines
Production, distribution & supply chain management (3)

Publications (total 3)

The most downloaded
53 downloads
Evers, J., & Schyns, M. (05 May 2023). Deep Reinforcement Learning for Combinatorial Problems: A new approach for the 3DBPP container loading problem in logistics [Paper presentation]. 19th ESICUP Meeting, Bologna, Italy. https://hdl.handle.net/2268/304690

Evers, J., & Schyns, M. (08 November 2023). Le Deep Reinforcement Learning à la rescousse des problèmes combinatoires: Une nouvelle approche pour le 3DBPP en logistique [Paper presentation]. Séminaire Data Science, Paris, France.

Evers, J., & Schyns, M. (26 May 2023). Deep Reinforcement Learning for Combinatorial Problems: A new approach for the 3DBPP container loading problem in logistics [Paper presentation]. ORBEL 37.

Evers, J., & Schyns, M. (05 May 2023). Deep Reinforcement Learning for Combinatorial Problems: A new approach for the 3DBPP container loading problem in logistics [Paper presentation]. 19th ESICUP Meeting, Bologna, Italy.

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