RL theory
Andreas Krause
online learning
active learning
reinforcement learning
bandits
Krause leads ETH Zurich’s Learning & Adaptive Systems Group, which develops principles for online, active, and reinforcement learning in uncertain domains.
Pros
- Internationally leading ML theorist with very high-impact bandit and Bayesian-optimisation work
- Prolific at NeurIPS/ICML with strong funding (ERC, SNSF, ETH AI Center) and resources
- Rigorous foundations for exploration and sequential decision-making relevant to RL
Learning & Adaptive Systems Group
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!