Aggression Incidents Dataset

该数据集涵盖了护理过程中用于训练马尔可夫决策过程的事件数据，旨在针对攻击性行为开发最优策略。此外，该数据集包含了在护理过程中客户行为的各个情节，这些情节已通过Q学习和SARSA算法进行分析。数据规模涉及6687起事件，跨越1360个情节。任务目标是针对攻击事件期间的工作人员寻找最优策略。

This dataset encompasses event data utilized for training Markov Decision Processes (MDPs) in the context of nursing care, with the objective of developing optimal strategies to address aggressive behaviors. Furthermore, the dataset contains a series of episodes depicting client behavior during nursing care, which have been analyzed using Q-learning and SARSA algorithms. The dataset includes 6,687 events spanning 1,360 distinct episodes. The primary task goal is to derive optimal strategies for nursing staff during aggressive incidents.