SafePILCO: a software tool for safe and data-efficient policy synthesis
arXiv:2008.03273
Abstract
SafePILCO is a software tool for safe and data-efficient policy search with reinforcement learning. It extends the known PILCO algorithm, originally written in MATLAB, to support safe learning. We provide a Python implementation and leverage existing libraries that allow the codebase to remain short and modular, which is appropriate for wider use by the verification, reinforcement learning, and control communities.
Shorter Version published as a software tool demonstration at QEST 2020