Heuristic for Edge-enabled Network Slicing Optimization using the "Power of Two Choices". - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (CNSM, 2020)

Optimized Network Slicing Proof-of-Concept with Interactive Gaming Use Case. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (ICIN, 2020)

Location-based Data Model for Optimized Network Slice Placement. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (NetSoft, 2020)

Edge-enabled Optimized Network Slicing in Large Scale Networks. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (NOF, 2020)

DRL-based Slice Placement Under Non-Stationary Conditions. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (CNSM, 2021)

DRL-based Slice Placement under Realistic Network Load Conditions. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (CNSM, 2021)

Controlled Deep Reinforcement Learning for Optimized Slice Placement. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (MeditCom, 2021)

Optimization of Network Slice Placement in Distributed Large Scale Infrastructures From Heuristics to Controlled Deep Reinforcement Learning. (Optimisation du placement des tranches de réseau dans les infrastructures distribuées à grande échelle: des heuristiques à l'apprentissage par renforcement profond contrôlée). - José Jurandir Alves Esteves (2021)

On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (J. Netw. Syst. Manag., 2022)

A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (IEEE Trans. Netw. Serv. Manag., 2022)

Optimizing Network Slicing in Distributed Large Scale Infrastructures: From Heuristics to Controlled Deep Reinforcement Learning. - José Jurandir Alves Esteves; Amina Boubendir; Fabrice Guillemin; Pierre Sens 001 (NOMS, 2023)