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Adrian Müller

PhD Student, ETH Zürich


Department of Computer Science
Institute for Machine Learning

E-mail: admuell [at] ethz [dot] ch
Google Scholar, Semantic Scholar




[About Me]

Hi, I’m Adrian! I’m a first-year ELLIS PhD student in Computer Science at ETH Zürich, fortunate to be advised by Niao He and co-advised by Gergely Neu. My research interests are the foundations of sequential decision-making (including RL), online learning, and theoretical machine learning more broadly.

I obtained my MSc in Data Science and my BSc in mathematics, both from ETH. Throughout my undergraduate studies, I had been very fortunate to be supported by the German Academic Scholarship Foundation („Studienstiftung“). I had also been an active long-term member of the ETH Student Sustainability Committee.


[News]


[Publications] (Google Scholar, Semantic Scholar)

Truly No-Regret Learning in Constrained MDPs
Adrian Müller, Pragya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
ICML, 2024 (Spotlight)
> arXiv link

Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes
Adrian Müller, Pragya Alatur, Giorgia Ramponi, Niao He
European Workshop on Reinforcement Learning, 2023
> arXiv link

[Teaching and Service]