Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells

no code implementations • 7 Aug 2020 • Dagnachew Azene Temesgene, Marco Miozzo, Deniz Gündüz, Paolo Dini

We formulate the corresponding grid energy and traffic drop rate minimization problem, and propose a distributed deep reinforcement learning (DDRL) solution.

Multi-agent Reinforcement Learning reinforcement-learning +1