SafePILCO: a software tool for safe and data-efficient policy synthesis
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). First posted on arXiv 7 Aug 2020.
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Citing papers per year: 2022: 3.
3 papers.