{
 "id": "hsvgbkhgbv/Multi-Agent-Power-Distribution-Networks",
 "owner": "hsvgbkhgbv",
 "name": "Multi-Agent-Power-Distribution-Networks",
 "downloads": 868,
 "likes": 0,
 "last_modified": "2025-12-17T20:32:00.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{NEURIPS2021_1a672771,\n author = {Wang, Jianhong and Xu, Wangkun and Gu, Yunjie and Song, Wenbin and Green, Tim C},\n booktitle = {Advances in Neural Information Processing Systems},\n editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},\n pages = {3271--3284},\n publisher = {Curran Associates, Inc.},\n title = {Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks},\n url = {https://proceedings.neurips.cc/paper/2021/file/1a6727711b84fd1efbb87fc565199d13-Paper.pdf},\n volume = {34},\n year = {2021}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "a41d8c269e402a827d36d9a153a4bce73a990e53",
 "stated_evidence": "https://huggingface.co/datasets/hsvgbkhgbv/Multi-Agent-Power-Distribution-Networks/blob/a41d8c269e402a827d36d9a153a4bce73a990e53/README.md",
 "file_evidence": "https://huggingface.co/datasets/hsvgbkhgbv/Multi-Agent-Power-Distribution-Networks/tree/a41d8c269e402a827d36d9a153a4bce73a990e53",
 "card_nc": false
}