{
 "id": "autorl-org/arlbench",
 "owner": "autorl-org",
 "name": "arlbench",
 "downloads": 9925,
 "likes": 4,
 "last_modified": "2026-03-19T21:21:30.000Z",
 "stated_licence": "bsd-3-clause",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "reinforcement-learning"
 ],
 "citation": "@article{\n  becktepe2026arlbench,\n  title={{ARLB}ench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning},\n  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},\n  journal={Journal of Data-centric Machine Learning Research},\n  year={2026},\n  url={https://openreview.net/forum?id=i6iafxkfFF},\n}",
 "signal": "permissive",
 "reason": "The declared licence (bsd-3-clause) is classified as permissive."
}