18 search results for “reinforcement learning” in the Public website
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Transfer Learning in Deep Reinforcement Learning and Procedural Content Generation
In this dissertation (titled: Exploring the Synergies between Transfer in Reinforcement Learning and Procedural Content Generation) we explore how the two research fields named in the title, namely Transfer in Reinforcement Learning (TRL) and Procedural Content Generation (PCG) can synergize togethe…
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Marijn PrinsFaculty of Science
f.m.prins@liacs.leidenuniv.nl | 071 5272727
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Andreas SauterFaculty of Science
a.w.m.sauter@liacs.leidenuniv.nl | +31 71 527 4799
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Matthias Müller-BrockhausenFaculty of Science
m.f.t.muller-brockhausen@liacs.leidenuniv.nl | +31 71 527 2727
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Ili MaSocial & Behavioural Sciences
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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Aske PlaatFaculty of Science
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Tianyuan WangFaculty of Science
t.wang@liacs.leidenuniv.nl | 071 5272727
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Alan Kai HassenFaculty of Science
a.k.hassen@liacs.leidenuniv.nl | +31 71 527 4799
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Solving the Gravitational N-body Problem with Machine Learning
In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.
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Franz WurmSocial & Behavioural Sciences
f.r.wurm@fsw.leidenuniv.nl | +31 71 527 2727
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Steven MileticSocial & Behavioural Sciences
s.miletic@fsw.leidenuniv.nl | +31 71 527 2727
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Evert van NieuwenburgFaculty of Science
e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523
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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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‘A last-minute challenge became my biggest breakthrough’
Data Science & AI student Nataliia Bagan combines a passion for mathematics, language, and artificial intelligence. Her exceptional bachelor’s thesis on improving reasoning in large language models earned her a nomination for the Leiden Science Young Talent Award 2025.
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Veronica Saz UlibarrenaFaculty of Science
ulibarrena@strw.leidenuniv.nl | 071 5272727
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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 SjoerdsSocial & Behavioural Sciences
z.sjoerds@fsw.leidenuniv.nl | +31 71 527 5437