KDD Cup Challenge 2019 Malaria Control Dataset

该数据集旨在通过强化学习技术来学习疟疾控制的策略，尤其关注在有限观察情境下的应用。数据集包含两个具有不同奖励依赖性和动作空间的环境。规模上，该数据集限制在20个剧集和100次评估内。任务目标是针对疟疾控制策略优化进行强化学习。

This dataset aims to learn malaria control strategies using reinforcement learning techniques, with particular focus on applications under limited-observation settings. The dataset contains two environments with distinct reward dependencies and action spaces. In terms of scale, this dataset is restricted to 20 episodes and 100 evaluation trials. The task objective is to optimize malaria control strategies via reinforcement learning.