ccwutw / rl-control

An example environment to simulate a networked control system with Reinforcement Learning algorithms

RL-Control

RL-Control is an example environment to simulate a network control system with Reinforcement Learning algorithms

Prerequisite

Linux/Windows Machine:

Ubuntu 18.04 or later/ Windows 7 or later

Install SUMO v1.6.0:

sudo add-apt-repository ppa:sumo/stable
sudo apt-get update
sudo apt-get install sumo sumo-tools sumo-doc
echo 'export SUMO_HOME="/usr/share/sumo"' >> ~/.bashrc
source ~/.bashrc

Test SUMO:

$ sumo --version

Output: Eclipse SUMO Version 1.6.0 Build features: Linux-4.4.0-178-generic x86_64 GNU 7.5.0 None Proj GUI SWIG GDAL GL2PS Copyright (C) 2001-2020 German Aerospace Center (DLR) and others; https://sumo.dlr.de

Install RL packages

pip install numpy
pip install tensorflow==1.13.1

Run

python sumotest.py