ReNet

A network environment to test reinforcement learning techniques.

The environment includes:

• NETWORK:

  • CLASS: ./network/NETWORK.py

  • Implemented following https://ieeexplore.ieee.org/abstract/document/10001109/

  • How to run: ./main_network.py

  • How to config: ./network/config.py

• REQUEST:

  • CLASS: ./request/REQUEST.py

  • How to run: ./main_request.py

  • How to config: ./request/config.py

• SERVICE:

  • CLASS: ./service/SERVICE.py

  • How to run: ./main_service.py

  • How to config: ./service/config.py

• ENVIRONMENT: The primary environmental class. You can get the state, update it by passing action, and reset the environment from here. It contains NETWORK, SERVICE, and REQUEST.

  • CLASS: ./service/ENVIRONMENT.py

  • How to run: ./main_environment.py