Multi-Joint Robot Control Tasks
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/TakuyaHiraoka/Learning-Robust-Options-by-Conditional-Value-at-Risk-Optimization
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资源简介：
该数据集包含了在多关节机器人控制任务上的实验，这些任务包括HopperIceBlock、Half-Cheetah和Walker2D，同时考虑了模型参数的不确定性。该数据集被用于评估一种新方法（OC3），该方法旨在不确定的模型参数下学习鲁棒的选项。这些任务旨在实现机器人控制。
This dataset includes experiments for multi-joint robotic control tasks, namely HopperIceBlock, Half-Cheetah, and Walker2D, while accounting for model parameter uncertainty. This dataset is employed to assess a novel method (OC3) developed to learn robust options under uncertain model parameters. These tasks are designed for robotic control applications.
