Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach

no code implementations • 1 Apr 2019 • Mohit K. Sharma, Alessio Zappone, Mohamad Assaad, Merouane Debbah, Spyridon Vassilaras

In the proposed framework, we model the online power control problem as a discrete-time mean-field game (MFG), and analytically show that the MFG has a unique stationary solution.

Multi-agent Reinforcement Learning reinforcement-learning +1

Problem-Adapted Artificial Intelligence for Online Network Optimization

no code implementations • 30 May 2018 • Spyridon Vassilaras, Luigi Vigneri, Nikolaos Liakopoulos, Georgios S. Paschos, Apostolos Destounis, Thrasyvoulos Spyropoulos, Merouane Debbah

To this end, we propose the framework of Online Network Optimization (ONO), which seeks to maintain both agile and efficient control over time, using an arsenal of data-driven, online learning, and AI-based techniques.

Management