Theresa Eimer - RankMe

25 papers A* 3A 1Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. J. Data-centric Mach. Learn. Res. Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger Hoos, Marius Lindauer, Theresa Eimer
2025	J	`jnl`	Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network. CoRR 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
2025	J	`jnl`	Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning. CoRR Lukas Fehring, Marius Lindauer, Theresa Eimer
2025	—	`conf`	Revisiting Learning Rate Control. AutoML Micha Henheik, Theresa Eimer, Marius Lindauer
2025	J	`jnl`	Revisiting Learning Rate Control. CoRR Micha Henheik, Theresa Eimer, Marius Lindauer
2025	J	`jnl`	Task Scheduling & Forgetting in Multi-Task Reinforcement Learning. CoRR Marc Speckmann, Theresa Eimer
2024	J	`jnl`	ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. CoRR Jannis Becktepe, Julian Dierkes, Carolin Benjamins, Aditya Mohan, David Salinas, Raghu Rajan, Frank Hutter, Holger H. Hoos, Marius Lindauer, Theresa Eimer
2024	J	`jnl`	AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. Trans. Mach. Learn. Res. Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
2023	J	`jnl`	AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. CoRR Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
2023	J	`jnl`	Contextualize Me - The Case for Context in Reinforcement Learning. Trans. Mach. Learn. Res. Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2023	A*	`conf`	Hyperparameters in Reinforcement Learning and How To Tune Them. ICML Theresa Eimer, Marius Lindauer, Roberta Raileanu
2023	J	`jnl`	Hyperparameters in Reinforcement Learning and How To Tune Them. CoRR Theresa Eimer, Marius Lindauer, Roberta Raileanu
2022	J	`jnl`	Automated Dynamic Algorithm Configuration. CoRR Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
2022	J	`jnl`	Automated Dynamic Algorithm Configuration. J. Artif. Intell. Res. Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR 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
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 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
2022	J	`jnl`	Contextualize Me - The Case for Context in Reinforcement Learning. CoRR Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2022	J	`jnl`	Hyperparameters in Contextual RL are Highly Situational. CoRR Theresa Eimer, Carolin Benjamins, Marius Lindauer
2021	J	`jnl`	Automatic Risk Adaptation in Distributional Reinforcement Learning. CoRR Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer
2021	J	`jnl`	CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning. CoRR Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
2021	A*	`conf`	DACBench: A Benchmark Library for Dynamic Algorithm Configuration. IJCAI Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer
2021	J	`jnl`	DACBench: A Benchmark Library for Dynamic Algorithm Configuration. CoRR Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer
2021	A*	`conf`	Self-Paced Context Evaluation for Contextual Reinforcement Learning. ICML Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer
2021	J	`jnl`	Self-Paced Context Evaluation for Contextual Reinforcement Learning. CoRR Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer
2020	A	`conf`	Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework. ECAI André Biedenkapp, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, Marius Lindauer