qhb1001 / sdn-simulation Goto Github PK

Hello, I am studying deep reinforcement learning based SDN, I am curious that is it possible to use Python and TensorFlow framework to implement deep reinforcement learning instead of reinforcement in your project? I found little information about the connection between DRL Python code and OMNeT++.

Remarkable work and what's the conclusion finally?
I am not quite familiar with omnetplusplus, and run simulation experiments on ns3. With to many tcp flows, the packets level simulator will last quite long time due to too many discrete events. Does omnetplusplus suffer such problem?