{
 "id": "RICHIEZOU/HPinParallelRL",
 "owner": "RICHIEZOU",
 "name": "HPinParallelRL",
 "downloads": 71,
 "likes": 1,
 "last_modified": "2026-08-31T19:56:02.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-regression"
 ],
 "citation": "This dataset accompanies our PPSN 2026 paper. If you use it, please cite:\n\n> Zou, Y., Fan, Z. (2027). From Importance Shifts to Landscape Topology: Characterizing and Exploiting Hyperparameter Spaces in\nParallel Reinforcement Learning. In: *Parallel Problem Solving from Nature – PPSN XIX (PPSN 2026), Proceedings, Part V*. Lecture\nNotes in Computer Science, vol. 16989, pp. 494-510. Springer, Cham. https://doi.org/10.1007/978-3-032-36217-9_31\n\n```bibtex\n@inproceedings{zou2027importance,\n  author    = {Zou, Yingjie and Fan, Zhong},\n  title     = {From Importance Shifts to Landscape Topology: Characterizing and Exploiting Hyperparameter Spaces in Parallel\nReinforcement Learning},\n  booktitle = {Parallel Problem Solving from Nature -- PPSN XIX (PPSN 2026), Proceedings, Part V},\n  series    = {Lecture Notes in Computer Science},\n  volume    = {16989},\n  pages     = {494--510},\n  year      = {2027},\n  publisher = {Springer},\n  address   = {Cham},\n  doi       = {10.1007/978-3-032-36217-9_31},\n  isbn      = {978-3-032-36217-9},\n  editor    = {Iacca, Giovanni and Nadizar, Giorgia and Yaman, Anil and Bucur, Doina and Della Cioppa, Antonio and Hu, Ting and\nMedvet, Eric and Thomson, Sarah L.}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "ff115b83eba636a57afb0b9c6b7afc75e06a5bbe",
 "stated_evidence": "https://huggingface.co/datasets/RICHIEZOU/HPinParallelRL/blob/ff115b83eba636a57afb0b9c6b7afc75e06a5bbe/README.md",
 "file_evidence": "https://huggingface.co/datasets/RICHIEZOU/HPinParallelRL/tree/ff115b83eba636a57afb0b9c6b7afc75e06a5bbe",
 "card_nc": false
}