Deep Reinforcement Learning for Energy Efficient Cooperative Offloading in MEC for IoT

Mobile edge computing (MEC) is a promising approach to execute delay-sensitive and computation-intensive applications in the resource-limited IoT mobile devices (IMDs) by offloading computing tasks to MEC servers.

The existing work is about using convex optimization minimize the energy consumption for IMD.