Sotabase

Career

· Team Lead Reinforcement Learning, Leibniz Universität Hannover2023–
· Research Intern, Meta2022–2023
· PhD Candidate, Leibniz Universität Hannover2020–2024
· Teaching Assistant For Foundations Of Computer Science, Universität Hamburg2015–2016
· Teaching Assistant For Technical Computer Science, Universität Hamburg2014–2015

Publications (17)

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Journal of Artificial Intelligence Research · 2022
128
cited
Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework
European Conference on Artificial Intelligence · 2020
79
cited
Hyperparameters in Reinforcement Learning and How To Tune Them
International Conference on Machine Learning · 2023
74
cited
Automated Dynamic Algorithm Configuration
Journal of Artificial Intelligence Research · 2022
49
cited
Contextualize Me - The Case for Context in Reinforcement Learning
Trans. Mach. Learn. Res. · 2022
47
cited
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Trans. Mach. Learn. Res. · 2023
36
cited
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
International Joint Conference on Artificial Intelligence · 2021
35
cited
Self-Paced Context Evaluation for Contextual Reinforcement Learning
International Conference on Machine Learning · 2021
34
cited
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
arXiv.org · 2021
27
cited
Automatic Risk Adaptation in Distributional Reinforcement Learning
arXiv.org · 2021
9
cited
Hyperparameters in Contextual RL are Highly Situational
arXiv.org · 2022
4
cited
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
arXiv.org · 2024
3
cited
Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning
arXiv.org · 2025
1
cited
Revisiting Learning Rate Control
arXiv.org · 2025
1
cited
Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network
arXiv.org · 2025
Performance Prediction In Reinforcement Learning: The Bad And The Ugly
Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
arXiv.org · 2025
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Theresa Eimer | Researcher Profile | Sotabase | Sotabase