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SafePILCO: a software tool for safe and data-efficient policy synthesis
Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen · 2020-08-08 · via cs.LG updates on arXiv.org

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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