Presentation Open Access
Pou, Bartomeu;
Smith, Jeffrey;
Quinones, Eduardo;
Martin, Mario;
Gratadour, Damien
{ "inLanguage": { "alternateName": "eng", "@type": "Language", "name": "English" }, "description": "<p>Extreme Adaptive Optics (AO) systems are designed to provide high resolution and high contrast observing capabilities on the largest ground-based telescopes through exquisite phase reconstruction accuracy. In that context, the pyramid wavefront sensor (P-WFS) has shown promise to deliver the means to provide such accuracy due to its high sensitivity. However, traditional methods cannot leverage the highly non-linear P-WFS measurements to their full potential. We present a predictive control method based on Reinforcement Learning (RL) for AO control with a P-WFS. The proposed approach is data-driven, has no assumptions about the system's evolution, and is non-linear due to the usage of neural networks. First, we discuss the challenges of using an RL control method with a P-WFS and propose solutions. Then, we show that our method outperforms an optimized integrator controller. Finally, we discuss its possible path for an actual implementation.</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "Barcelona Supercomputing Center, Universitat Polit\u00e8cnica de Catalunya", "@id": "https://orcid.org/0000-0001-8634-2316", "@type": "Person", "name": "Pou, Bartomeu" }, { "affiliation": "School of Computing, Australian National University", "@type": "Person", "name": "Smith, Jeffrey" }, { "affiliation": "Barcelona Supercomputing Center", "@type": "Person", "name": "Quinones, Eduardo" }, { "affiliation": "Universitat Polit\u00e8cnica de Catalunya", "@type": "Person", "name": "Martin, Mario" }, { "affiliation": "LESIA , Observatoire de Paris, Universit\u00e9 PSL, CNRS, Sorbonne Universit\u00e9, Universit\u00e9 de Paris, Australian National University", "@type": "Person", "name": "Gratadour, Damien" } ], "url": "https://zenodo.org/record/6567127", "datePublished": "2022-05-20", "keywords": [ "Adaptive Optics", "Reinforcement Learning" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.6567127", "@id": "https://doi.org/10.5281/zenodo.6567127", "@type": "PresentationDigitalDocument", "name": "A Non Linear Control Method with Reinforcement Learning for Adaptive Optics with Pyramid Sensors" }
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