Carolin Benjamins

PhD student, Institute of AI, Leibniz Universität Hannover

Joined

August 2021

Names

Carolin Benjamins (Preferred)

Emails

****@tnt.uni-hannover.de (Confirmed)

****@ai.uni-hannover.de (Confirmed)

Personal Links

Career & Education History

PhD student

Institute of AI, Leibniz Universität Hannover (uni-hannover.de)

2020 – Present

Advisors, Relations & Conflicts

PhD Advisor

Marius Lindauer

2020 – Present

Expertise

No areas of expertise listed

Publications

Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL
Aditya Mohan, Theresa Eimer, Carolin Benjamins, Marius Lindauer, André Biedenkapp
- EWRL 2025 Poster
- Readers: Everyone
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
- Accepted by DMLR
- Readers: Everyone
Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes
Carolin Benjamins, Shikha Surana, Oliver Bent, Marius Lindauer, Paul Duckworth
- AI4Mat-NeurIPS-2024
- Readers: Everyone
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
- EWRL17
- Readers: Everyone
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
- Published: 20 Jul 2023, Last Modified: 08 Jun 2025
- EWRL16
- Readers: Everyone
AutoRL Hyperparameter Landscapes
Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
- Published: 20 Jul 2023, Last Modified: 08 Jun 2025
- EWRL16
- Readers: Everyone
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, Rene Sass, Frank Hutter
- AutoML 2023 (Journal Track)
- Readers: Everyone
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
- Published: 16 May 2023, Last Modified: 15 Jan 2026
- AutoML 2023 MainTrack
- Readers: Everyone
AutoRL Hyperparameter Landscapes
Aditya Mohan, Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, Marius Lindauer
- Published: 16 May 2023, Last Modified: 15 Jan 2026
- AutoML 2023 MainTrack
- Readers: Everyone
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
- Accepted by TMLR
- Readers: Everyone

View all 12 publications

Co-Authors

View all 27 co-authors