Marc Fries

Scalable and Energy-Efficient Deep Reinforcement Learning for Mobile Edge Computing

Scalable decentralized control for Mobile Edge Computing (MEC) remains an open challenge. Existing learning-based approaches either centralize decision-making or rely on state spaces that grow with the number of devices, limiting their applicability in dense sixth-generation (6G) deployments. We propose a decentralized...