Julian Zimmert
Julian is passionate about deriving principled solutions for challenging applications. He completed his PhD at the University of Copenhagen about adversarially robust multi-armed bandits problems and has hence worked on a range of problems in online learning and reinforcement learning.
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A Model Selection Approach for Corruption Robust Reinforcement Learning
Chen-Yu Wei
33rd International Conference on Algorithmic Learning Theory (ALT 2022) (2022)
