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Automata Learning Meets Shielding

This repository contains source code and experiment data for paper "Automata Learning Meets Shielding".

Install

Clone and install python dependencies.

git clone git@github.com:DES-Lab/Automata-Learning-meets-Shielding.git
pip install -r requirements.txt

Install TEMPEST

# To install STORM
sudo apt-get install build-essential git cmake libboost-all-dev libcln-dev libgmp-dev libginac-dev automake libglpk-dev libhwloc-dev libz3-dev libxerces-c-dev libeigen3-dev
# To install TEMPEST
git clone https://github.com/tempest-shields/tempest-shields
cd tempest-shields
mkdir build
cd build
cmake ..
# building the command line interface for tempest suffices:
make storm-main
# if you have at least 8GB of RAM and multiple cores available you can speed up the build step via
make storm-main -j${NUMBER_OF_CORES_TO_BE_USED}

Run Experiments

Most of the code is based in the q_learning.py file. There you can find implementation of q-learning and shielded q-learning.

To reproduce experiments from the paper run:

./wrapper_q_learning.sh