RL theory
Sebastian Tschiatschek
reinforcement learning
exploration
interactive machine learning
probabilistic models
Tschiatschek heads the Probabilistic and Interactive Machine Learning work group, studying reinforcement learning, exploration, and adaptive decision making under uncertainty.
Pros
- Solid RL and exploration agenda with decent topical fit
- Industry research pedigree (Microsoft Research)
- Embedded in the University of Vienna ML ecosystem
University of Vienna group page
A quick heads-up: This list is a work in progress! The focus tags and pros are AI-generated, so they might occasionally miss the mark. If you spot any missing labs, notice an error, or have ideas for improvements, please feel free to open a pull request. We’d love your help making this better!