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.