<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Giannopoulos, Anastasios</style></author><author><style face="normal" font="default" size="100%">Spantideas, Sotirios</style></author><author><style face="normal" font="default" size="100%">Nomikos, Nikolaos</style></author><author><style face="normal" font="default" size="100%">Kalafatelis, Alexandros</style></author><author><style face="normal" font="default" size="100%">Trakadas, Panagiotis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Learning to fulfill the user demands in 5G-enabled wireless networks through power allocation: A reinforcement learning approach</style></title><secondary-title><style face="normal" font="default" size="100%">2023 19th International Conference on the Design of Reliable Communication Networks (DRCN)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">1–7</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>