KIT - Karlsruher Institut für Technologie
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Max Nagy

Max Nagy

PhD Student FZI

Joined in 2025

I joined the Lab in 2025. My research interests are algorithms for robust and deployable RL with a focus on sample efficiency and the incorporation of demonstration data. As part of the XSCAVE project, I work on automating Excavation and Forestry in tasks with complex kinematics, limited observations and contact-rich interactions.

Available Theses

The Curse of Dimensionality in Reinforcement Learning

Start: ASAP

Bachelor Master

Topics

Reinforcement Learning Dimensionality Action Chunking

Adaptive Replanning in Reinforcement Learning

Start: ASAP

Master

Supervisors

Topics

Reinforcement Learning Action Chunking Replanning