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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autorschaft

Externe Organisationen

  • University of British Columbia
  • Leiden University
  • Albert-Ludwigs-Universität Freiburg
  • Bosch Center for Artificial Intelligence (BCAI)
  • Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
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Details

OriginalspracheEnglisch
Titel des Sammelwerks17th European Workshop on Reinforcement Learning (EWRL 2024)
PublikationsstatusElektronisch veröffentlicht (E-Pub) - 2024
Veranstaltung17th European Workshop on Reinforcement Learning (EWRL 2024) - Toulouse, Frankreich
Dauer: 28 Okt. 202430 Okt. 2024

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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.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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, Frankreich, 28 Okt. 2024. https://doi.org/10.48550/arXiv.2409.18827
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) Vorabveröffentlichung online. https://doi.org/10.48550/arXiv.2409.18827
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. doi: 10.48550/arXiv.2409.18827
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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@inproceedings{97a4575e82fc45c29f4dbaef1253ed99,
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",
doi = "10.48550/arXiv.2409.18827",
language = "English",
booktitle = "17th European Workshop on Reinforcement Learning (EWRL 2024)",
note = "17th European Workshop on Reinforcement Learning (EWRL 2024) ; Conference date: 28-10-2024 Through 30-10-2024",

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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

U2 - 10.48550/arXiv.2409.18827

DO - 10.48550/arXiv.2409.18827

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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