Safety-MuJoCo Benchmark

该数据集是一个旨在评估安全强化学习算法性能的基准，它重点关注在奖励和安全指标之间的平衡。该基准不仅包含了与速度相关的约束，还考虑了机器人健康因素，如跌倒和关节限制。任务领域为安全强化学习。

This dataset is a benchmark designed to evaluate the performance of safe reinforcement learning algorithms, with a primary focus on balancing reward and safety metrics. This benchmark not only includes velocity-related constraints but also takes into account robot health-related factors such as falling and joint limits. The task domain falls under safe reinforcement learning.