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Theresa Eimer
Theresa Eimer
Doctoral Researcher, Leibniz Universität Hannover
Verified email at ai.uni-hannover.de - Homepage
Title
Cited by
Cited by
Year
Automated reinforcement learning (AutoRL): A survey and open problems
J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ...
Journal of Artificial Intelligence Research 74, 517-568, 2022
652022
Dynamic algorithm configuration: Foundation of a new meta-algorithmic framework
A Biedenkapp, HF Bozkurt, T Eimer, F Hutter, M Lindauer
ECAI 2020, 427-434, 2020
642020
Automated dynamic algorithm configuration
S Adriaensen, A Biedenkapp, G Shala, N Awad, T Eimer, M Lindauer, ...
Journal of Artificial Intelligence Research 75, 1633-1699, 2022
242022
Self-Paced Context Evaluation for Contextual Reinforcement Learning
T Eimer, A Biedenkapp, F Hutter, M Lindauer
International Conference on Machine Learning (ICML 2021), 2021
232021
Carl: A Benchmark for Contextual and Adaptive Reinforcement Learning
C Benjamins, T Eimer, F Schubert, A Biedenkapp, B Rosenhahn, F Hutter, ...
EcoRL@NeurIPS 2021, 2021
212021
Contextualize Me--The Case for Context in Reinforcement Learning
C Benjamins, T Eimer, F Schubert, A Mohan, A Biedenkapp, ...
Transactions on Machine Learning Research, 2023
192023
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
T Eimer, A Biedenkapp, M Reimer, S Adriaensen, F Hutter, M Lindauer
30th International Joint Conferences on Artificial Intelligence (IJCAI 2021), 2021
182021
Automl in the age of large language models: Current challenges, future opportunities and risks
A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ...
arXiv preprint arXiv:2306.08107, 2023
162023
Hyperparameters in Reinforcement Learning and How To Tune Them
T Eimer, M Lindauer, R Raileanu
International Conference on Machine Learning (ICML) 2023, 2023
112023
Automatic Risk Adaptation in Distributional Reinforcement Learning
F Schubert, T Eimer, B Rosenhahn, M Lindauer
RL4RealLife Workshop ICML 2021, 2021
62021
Hyperparameters in Contextual RL are Highly Situational
T Eimer, C Benjamins, M Lindauer
EcoRL Workshop @ NeurIPS'21, 2021
42021
Towards Self-Paced Context Evaluation for Contextual Reinforcement Learning
T Eimer, A Biedenkapp, F Hutter, M Lindauer
BIG@ICML 2020, 2020
2020
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