This project is meant to learn aritificial intelligence algorithms. You can run the algorithms in a real environment (ultimate 4tronix initio) or in simulation. We have two different simulations. First you can use MORSE, a robot simulation environment based on blender. Thus it has a quite real physics engine and is close to reality. Second you can use a optimized simulation tool that is simulating the environment using computational geometry (in 2D) and is very fast.

To use this project one needs to install the following python dependencies:

matplotlib, scipy, numpy, pillow, readchar, shapely, descartes, neat-python(0.5)

Instalation example for Ubuntu envrionment:

sudo apt-get install python3-pip
sudo apt-get install python-dev libfreetype6-dev libpng-dev libjpeg-dev libjpeg8-dev libpng3
sudo apt-get install morse-simulator
sudo apt-get install python-matplotlib
pip install --user scipy numpy pillow readchar shapely descartes
pip install --user neat-python==0.5

Import the morse project:

morse import /path/to/project/simulator/morse_sim/

If you are using the morse simulator, start the simulator with:

morse run morse_sim

Neat:

python -m examples/neat/train

Q-Learning:

python -m examples/q_learn/train

This project is in a very early state. Please feel free to open issues whenever something is not working (or if I forgot to describe something).

Copyright 2016 Sebastian Schmoll

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.