Carolin Benjamins, M.Sc.
Leibniz Universität Hannover
Institut für Künstliche Intelligenz
Appelstr. 9A
30167 Hannover
phone: +49 511 762 5317

I now work at the Institute of AI, please find my profile here.

Carolin Benjamins received her bachelor’s degree in Mechatronics in 2017 and her master’s degree in Mechatronics and Robotics in 2020 at the Leibniz University Hanover. Since 2020 she is working towards her PhD under the supervision of Prof. Marius Lindauer.

She is driven by the love for automation and making complex algorithms more accessible. Further interests are robotics, automated machine learning (AutoML), hyperparameter optimization (HPO) and especially Bayesian Optimization (BO) as well as reinforcement learning and meta-learning.

Show selected publications only
  • Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
    Contextualize Me - The Case for Context in Reinforcement Learning
    Transactions on Machine Learning Research, June 2023
  • Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer
    POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
    Transactions on Machine Learning Research, April 2023
  • Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter
    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
    Journal of Machine Learning Research (JMLR) -- MLOSS, Vol. 23, No. 54, pp. 1-9, January 2022
  • Theresa Eimer, Carolin Benjamins, Marius Lindauer
    Hyperparameters in Contextual RL are Highly Situational
    NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, December 2021
  • Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
    CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
    NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, December 2021