no code implementations • 24 Feb 2023 • Adriano Mendo, Jose Outes-Carnero, Yak Ng-Molina, Juan Ramiro-Moreno
During this phase, an initial policy is obtained using feedback from a static network simulator and considering a wide variety of scenarios.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 20 Jan 2023 • Maxime Bouton, Jaeseong Jeong, Jose Outes, Adriano Mendo, Alexandros Nikou
Future generations of mobile networks are expected to contain more and more antennas with growing complexity and more parameters.
Multi-agent Reinforcement Learning reinforcement-learning +1