31 citations · 35 across the 11 of their papers we have counts for
4 papers · 1 filter
Model Based Residual Policy Learning with Applications to Antenna Control
Viktor Eriksson Möllerstedt, Alessio Russo, Maxime Bouton
Non-differentiable controllers and rule-based policies are widely used for controlling real systems such as telecommunication networks and robots. Specifically, parameters of mobil…
A Graph Attention Learning Approach to Antenna Tilt Optimization
Yifei Jin, Filippo Vannella, Maxime Bouton +2
6G will move mobile networks towards increasing levels of complexity. To deal with this complexity, optimization of network parameters is key to ensure high performance and timely…
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Maxime Bouton, Hasan Farooq, Julien Forgeat +3
Mobile networks are composed of many base stations and for each of them many parameters must be optimized to provide good services. Automatically and dynamically optimizing all the…
Decomposition Methods with Deep Corrections for Reinforcement Learning
Maxime Bouton, Kyle Julian, Alireza Nakhaei +2
Decomposition methods have been proposed to approximate solutions to large sequential decision making problems. In contexts where an agent interacts with multiple entities, utility…