12 search results for “reinforcement learning” in the Public website
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Andreas SauterScience
a.w.m.sauter@liacs.leidenuniv.nl | +31 71 527 4799
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Ili MaFaculteit der Sociale Wetenschappen
i.ma@fsw.leidenuniv.nl | +31 71 527 2727
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
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Nurbolat KenbayevScience
n.kenbayev@liacs.leidenuniv.nl | +31 71 527 2727
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Aske PlaatScience
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Alan Kai HassenScience
a.k.hassen@liacs.leidenuniv.nl | +31 71 527 4799
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Evert van NieuwenburgScience
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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Steven MileticFaculteit der Sociale Wetenschappen
s.miletic@fsw.leidenuniv.nl | +31 71 527 2727
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Franz WurmFaculteit der Sociale Wetenschappen
f.r.wurm@fsw.leidenuniv.nl | +31 71 527 2727
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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PNAS Paper Prize for quantum machine learning
‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…
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Zsuzsika Sjoerds
Faculteit der Sociale Wetenschappen
z.sjoerds@fsw.leidenuniv.nl | +31 71 527 5437