Maze Datasets

该数据集包含了17个迷宫，每个迷宫的尺寸为16x16的网格，这些迷宫的数据已在网络上公布，以便评估各种迷宫覆盖策略的性能。此外，这些迷宫被用于评估在各种条件下，如数据包丢失和通信范围限制下，所提出的通信效率高的分布式合作强化学习算法。整个数据集的规模为17个迷宫，每个迷宫的网格大小均为16x16。该数据集的任务是进行迷宫探索和覆盖评估。

This dataset contains 17 mazes, each with a 16×16 grid size. The maze data has been publicly released online to evaluate the performance of various maze coverage strategies. Additionally, these mazes are used to assess the proposed communication-efficient distributed cooperative reinforcement learning algorithms under various conditions such as packet loss and communication range constraints. The total scale of the dataset is 17 mazes, each with a uniform 16×16 grid size. The task of this dataset is maze exploration and coverage evaluation.