Theresa Eimer

According to our database, Theresa Eimer authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning to Play Blackjack: A Curriculum Learning Perspective.

Amirreza Alasti, Efe Erdal, Yücel Çelik, Theresa Eimer

CoRR, April, 2026

ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning.

Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer

J. Data-centric Mach. Learn. Res., 2026

2025

Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network.

Theresa Eimer, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, Katharina Eggensperger, Kaitlin Maile, Tanja Tornede, Anna Kozak, Ke Xue, Marcel Wever, Mitra Baratchi, Damir Pulatov, Heike Trautmann, Haniye Kashgarani, Marius Lindauer

CoRR, December, 2025

Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning.

Lukas Fehring, Marius Lindauer, Theresa Eimer

CoRR, June, 2025

Task Scheduling & Forgetting in Multi-Task Reinforcement Learning.

Marc Speckmann, Theresa Eimer

CoRR, March, 2025

Revisiting Learning Rate Control.

Micha Henheik, Theresa Eimer, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 2025

2024

AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks.

Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer

Trans. Mach. Learn. Res., 2024

ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning.

Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer

CoRR, 2024

2023

Contextualize Me - The Case for Context in Reinforcement Learning.

Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer

Trans. Mach. Learn. Res., 2023

Hyperparameters in Reinforcement Learning and How To Tune Them.

Theresa Eimer, Marius Lindauer, Roberta Raileanu

Proceedings of the International Conference on Machine Learning, 2023

2022

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.

Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer

J. Artif. Intell. Res., 2022

Automated Dynamic Algorithm Configuration.

Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter

J. Artif. Intell. Res., 2022

Hyperparameters in Contextual RL are Highly Situational.

Theresa Eimer, Carolin Benjamins, Marius Lindauer

CoRR, 2022

Contextualize Me - The Case for Context in Reinforcement Learning.

Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer

CoRR, 2022

2021

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning.

Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer

CoRR, 2021

Automatic Risk Adaptation in Distributional Reinforcement Learning.

Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer

CoRR, 2021

DACBench: A Benchmark Library for Dynamic Algorithm Configuration.

Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Paced Context Evaluation for Contextual Reinforcement Learning.

Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework.

André Biedenkapp, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, Marius Lindauer

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020