Eight Reset-Free Tasks

该数据集包含了八个不同的无需重置任务，旨在评估基于模型的强化学习方法，包括MoReFree以及各种基准方法。数据集涵盖了不同任务复杂度层级，并在多个随机种子上提供了性能指标。这些任务还包括了从现有基准中改编的操作任务。该任务是在无需重置环境中的强化学习。

This dataset comprises eight distinct reset-free tasks, designed to evaluate model-based reinforcement learning methods including MoReFree and various baseline approaches. The dataset covers varying levels of task complexity, and provides performance metrics across multiple random seeds. These tasks also include manipulation tasks adapted from existing benchmark suites. These tasks fall into the category of reinforcement learning tasks conducted in reset-free environments.