This repo is a python port of the c implementation of Packet Routing in Dynamically Changing Networks: A Reinforcement Learning approach (found here:https://www.cs.cmu.edu/~jab/cv/pubs/boyan.q-routing.pdf)
The network simulator is implemented in envs/simulator.py and extends the OpenAI gym environment class.
To run this code simply choose and agent file (currently we have Q learning and SARSA) and run:
python do_TYPE_learning.py
so for instance, to run the Q learning agent, type
python do_q_learning.py
in this directory.
The agent's performance is written to the console.