Deep Reinforcement Learning for task offloading in edge computing environments.

It includes:

• systemModel.py: including definition of the task, MEC server, ...

• Training.py: RL training process.

• Deep Reinforcement Learning algorithms: DQN (DQN.py), Dueling DQN(Dueling.o), Double DQN(Double.py).

• Simulation.py: main simulation file.

Required packages

• SimPy and Tensorflow 2.X

How the code works

• run the file Simulation.py.

• For changing the numbers of user equipment, change the global variable 'UN' in the file Simulation.py.

• For changing the DQN algorithms, change the import of package in the file Training.py.