Atari Subset

该数据集是从Atari游戏中选择的一小部分，用于评估PermaKey方法在学习与显著物体部分相对应的对象关键点时的有效性。该数据集包含了不同的环境，确保了物体大小、颜色、类型、数量和移动方式的多样性。规模上，涵盖了多个Atari环境；任务上，专注于基于关键点的强化学习代理。

This dataset is a curated subset selected from Atari games, designed to evaluate the effectiveness of the PermaKey method for learning object keypoints corresponding to salient objects. It includes diverse environments that ensure variability in object size, color, type, quantity, and movement patterns. In terms of scale, it covers multiple Atari environments; in terms of tasks, it focuses on keypoint-based reinforcement learning agents.