Problem Domain 1

该数据集对ARM框架在特定问题领域的评估进行了总结，该领域与非马尔可夫奖励有关。在该问题域中，智能体可以在网格内移动，并遭遇随机行为。问题规模较小，任务是通过主动学习方法学习一个非马尔可夫奖励模型。

This dataset summarizes the evaluations of the ARM framework in a specific problem domain associated with non-Markovian rewards. In this domain, agents can move within a grid environment and encounter stochastic behaviors. The problem is of a relatively small scale, and the task is to learn a non-Markovian reward model through active learning methods.