beacon

beacon数据集是由巴黎矿业技术学院的研究团队开发的一个开源基准库，专注于流控制问题的深度强化学习应用。该数据集包含7个轻量级的一维和二维流控制问题，具有不同的特性和计算需求。数据集旨在为流控制领域的深度强化学习算法提供一个可复现的结果和适当的基准测试平台。beacon数据集适用于评估和比较不同算法的性能，特别是在物理和数值相关的问题上，为流控制算法的原型设计和测试提供了一个基础步骤，以便进一步应用于更复杂和计算密集的案例。

The Beacon Dataset is an open-source benchmark library developed by the research team from MINES ParisTech, focusing on applications of deep reinforcement learning to flow control problems. It contains 7 lightweight one-dimensional (1D) and two-dimensional (2D) flow control problems with diverse characteristics and computational requirements. This dataset is designed to provide reproducible results and a suitable benchmarking platform for deep reinforcement learning algorithms in the flow control domain. The Beacon Dataset is suitable for evaluating and comparing the performance of different algorithms, particularly for physics- and numerics-related problems, and serves as a foundational step for prototyping and testing flow control algorithms before their further application to more complex and computationally intensive cases.