- Improved Video QoE in Wireless Networks using Deep Reinforcement Learning
Henrique Moura (Universidade Federal de Minas Gerais & UFMG, Brazil); Junia Maisa Oliveira (University of Bologna, Italy); Daniel H. C M. Soares and Daniel Fernandes Macedo (Universidade Federal de Minas Gerais, Brazil); Marcos A. M. Vieira (Federal University of Minas Gerais, Brazil)
- Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4
Yixing Wang (Beijing University of Posts and Telecommunications, China); Yang Xiao (University of Waterloo, Canada); Yuqian Song, Jingli Zhou and Jun Liu (Beijing University of Posts and Telecommunications, China)
- A Token-Prioritization Strategy for Handling Data Imbalance in Network-Change Ticket Classification
Md. Shamim Towhid, Nasik Sami Khan and Nashid Shahriar (University of Regina, Canada); Massimo Tornatore (Politecnico di Milano, Italy); Raouf Boutaba (University of Waterloo, Canada); Aladdin Saleh (Rogers Communications Inc., Canada)
- Energy Efficient VNF-FG Embedding via Attention-based Deep Reinforcement Learning
Omar Houidi (Telecom SudParis, France); Oussama Soualah (Institut Mines-Telecom, Telecom SudParis - Samovar, France); Ines Houidi (RedCAD Lab, Sfax University, National Engineering School of Sfax, Tunisia); Djamal Zeghlache (Institut Mines-Telecom, Telecom SudParis, Samovar & Institut Polytechnique de Paris, France)
- Learning-Based Formation Control of UAV-fleet
Abdulhakeem Abdulazeez (Universite Paris-Saclay, France); Nicola Roberto Zema (Paris-Saclay University, France); Tara Ali Yahiya (Universite Paris Saclay, France); Steven Martin (Université Paris-Saclay, France)