five

Source code and data for the experiments presented in Deep Reinforcement Learning for Active Wake Control

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DataCite Commons2022-08-30 更新2024-07-03 收录
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https://data.4tu.nl/articles/_/19107257/1
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资源简介:
This is a simulation study to illustrate benefits of reinforcement learning (RL) for active wake control in wind farms. The repository includes a simulator (./code/wind_farm_gym), implementation of RL agents (./code/agent), and configurations for the experiments presented in the paper (./code/configs), as well as the simulation results (./data). For more detailed instructions, see README.md.<br>
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4TU.ResearchData
创建时间:
2022-02-04
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