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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

External Research Organisations

  • University of British Columbia
  • Leiden University
  • University of Freiburg
  • Bosch Center for Artificial Intelligence (BCAI)
  • RWTH Aachen University
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Details

Original languageEnglish
Title of host publication17th European Workshop on Reinforcement Learning (EWRL 2024)
Publication statusE-pub ahead of print - 2024
Event17th European Workshop on Reinforcement Learning (EWRL 2024) - Toulouse, France
Duration: 28 Oct 202430 Oct 2024

Cite this

ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. / Becktepe, Jannis; Dierkes, Julian; Benjamins, Carolin et al.
17th European Workshop on Reinforcement Learning (EWRL 2024). 2024.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Becktepe, J, Dierkes, J, Benjamins, C, Mohan, A, Salinas, D, Rajan, R, Hutter, F, Hoos, H, Lindauer, M & Eimer, T 2024, ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. in 17th European Workshop on Reinforcement Learning (EWRL 2024). 17th European Workshop on Reinforcement Learning (EWRL 2024), Toulouse, France, 28 Oct 2024.
Becktepe, J., Dierkes, J., Benjamins, C., Mohan, A., Salinas, D., Rajan, R., Hutter, F., Hoos, H., Lindauer, M., & Eimer, T. (2024). ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. In 17th European Workshop on Reinforcement Learning (EWRL 2024) Advance online publication.
Becktepe J, Dierkes J, Benjamins C, Mohan A, Salinas D, Rajan R et al. ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. In 17th European Workshop on Reinforcement Learning (EWRL 2024). 2024 Epub 2024.
Becktepe, Jannis ; Dierkes, Julian ; Benjamins, Carolin et al. / ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning. 17th European Workshop on Reinforcement Learning (EWRL 2024). 2024.
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title = "ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning",
author = "Jannis Becktepe and Julian Dierkes and Carolin Benjamins and Aditya Mohan and David Salinas and Raghu Rajan and Frank Hutter and Holger Hoos and Marius Lindauer and Theresa Eimer",
year = "2024",
language = "English",
booktitle = "17th European Workshop on Reinforcement Learning (EWRL 2024)",
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Download

TY - GEN

T1 - ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning

AU - Becktepe, Jannis

AU - Dierkes, Julian

AU - Benjamins, Carolin

AU - Mohan, Aditya

AU - Salinas, David

AU - Rajan, Raghu

AU - Hutter, Frank

AU - Hoos, Holger

AU - Lindauer, Marius

AU - Eimer, Theresa

PY - 2024

Y1 - 2024

M3 - Conference contribution

BT - 17th European Workshop on Reinforcement Learning (EWRL 2024)

T2 - 17th European Workshop on Reinforcement Learning (EWRL 2024)

Y2 - 28 October 2024 through 30 October 2024

ER -

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