Gym Discrete Environments

该数据集包含了来自Gym环境的离散控制任务，如“月球着陆器”和“双杆机器人”，这些任务被用来评估强化学习中想象机制的有效性。此外，该数据集还用于评估所提出方法在不同类型控制任务中的普遍适用性，确保其广泛的应用范围。该数据集涉及的是低维状态空间，任务类型为强化学习。

This dataset comprises discrete control tasks from the Gym environment, including "Lunar Lander" and "Acrobot". These tasks are used to evaluate the effectiveness of imagination mechanisms in reinforcement learning. Furthermore, this dataset is also employed to assess the generalizability of the proposed method across various control tasks, ensuring its broad application scope. This dataset involves low-dimensional state spaces, with the task category belonging to reinforcement learning.