EpicPinkPenguin/atari_frogger_with_masks

FroggerNoFrameskip-v4数据集是一个用于强化学习的环境数据集，基于Atari游戏Frogger，不包含帧跳过机制。数据集包含5000个训练示例，总大小约为18.9 MB，下载大小约为19.1 MB。特征包括观察图像、掩码图像、动作（整数类型）、奖励（浮点类型）、终止标志（布尔类型）和截断标志（布尔类型），适用于游戏状态分析和智能体训练。数据以训练集分割形式存储。

The FroggerNoFrameskip-v4 dataset is an environment dataset for reinforcement learning, based on the Atari game Frogger without frame skipping. It contains 5000 training examples with a total size of approximately 18.9 MB and a download size of approximately 19.1 MB. Features include observation images, mask images, actions (integer type), rewards (float type), terminated flags (boolean type), and truncated flags (boolean type), suitable for game state analysis and agent training. The data is stored in a training split format.