ANYmal C motion control policies

该数据集包含了一系列针对ANYmal C四足机器人的运动控制策略，这些策略是通过在不同频率下使用深度强化学习进行训练的。数据集不仅包含了训练和部署代码，还附带了实证评估和分析。这些策略是在多种训练频率（从5赫兹到200赫兹）下进行的，其任务是实现对稳健且动态的行走控制。

This dataset contains a series of motion control strategies for the ANYmal C quadruped robot, which were trained using deep reinforcement learning across different frequencies. The dataset includes not only training and deployment code, but also empirical evaluations and analyses. These strategies were trained over a range of frequencies from 5 Hz to 200 Hz, with the goal of achieving robust and dynamic walking control.