Object Collection Task

该数据集是对Barreto等人（2017年）的对象收集任务的修改版本，包含了更复杂的特征，以支持更广泛的奖励函数。此外，该任务涉及智能体在300个连续的任务中学习，每个任务对于对象收集都有不同的奖励设置。该数据集的规模属于高维向量，所属的任务类型为强化学习。

This dataset is a modified version of the object collection task proposed by Barreto et al. (2017), which incorporates more complex features to support a wider range of reward functions. Additionally, this task requires the AI Agent to learn across 300 sequential tasks, each with distinct reward settings for object collection. This dataset consists of high-dimensional vector data, and the task falls under the domain of reinforcement learning.