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SafePILCO: a software tool for safe and data-efficient policy synthesis

7 August 2020
Kyriakos Polymenakos
Nikitas Rontsis
Alessandro Abate
Stephen J. Roberts
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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.

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