Research data for: "Semi-Active Control of a Shear Building based on Reinforcement Learning: Robustness to measurement noise and model error"
收藏DataCite Commons2024-03-26 更新2025-04-16 收录
下载链接:
https://repod.icm.edu.pl/citation?persistentId=doi:10.18150/BYAOT8
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains the definition of the structure used for preparation of the publication:Jedlińska A., Pisarski D., Mikułowski G., Błachowski B., Jankowski Ł., Semi-Active Control of a Shear Building based on Reinforcement Learning: Robustness to measurement noise and model error, FedCSIS 2023, 18th Conference on Computer Science and Intelligence Systems, 2023-09-17/09-20, Warsaw (PL), pp.1001-1004, 2023. https://doi.org/10.15439/2023F8946This research has been supported by the National Science Centre, Poland, under grant agreement 2020/39/B/ST8/02615.The structure definition files are in the txt/CSV format, and they have been exported using the Wolfram Mathematica environment. The model error and measurement noise files are in the JSON format, and they have been generated using the Python programming language.
提供机构:
RepOD
创建时间:
2024-03-20



