Arcade Learning Environment

该数据集包含了来自Atari游戏的多种状态，用于评估在深度强化学习算法中异常检测策略的有效性。数据集不仅包含干净的状态，还包含了一定比例异常状态混合的污染状态，以测试检测策略的鲁棒性。该任务旨在研究强化学习中的异常检测问题。

This dataset contains various states from Atari games, which is used to evaluate the effectiveness of anomaly detection strategies in deep reinforcement learning algorithms. It not only includes clean states, but also contaminated states mixed with a certain proportion of anomalous states to test the robustness of the detection strategies. This task aims to study the anomaly detection problem in reinforcement learning.