Atari Environments (Space Invaders, Amidar, Breakout)

该数据集用于训练强化学习智能体，并评估它们在不同训练流程中的干预鲁棒性（IR）。这些环境包括《太空侵略者》、《阿米达》和《打砖块》等游戏，每个游戏都有数十种定义好的干预措施，这些干预会影响智能体的行动。该数据集规模涵盖三个Atari环境，每个环境中都有多种干预措施和状态变化，其任务是强化学习。

This dataset is designed for training reinforcement learning agents and evaluating their intervention robustness (IR) across various training pipelines. The environments include games such as Space Invaders, Amidar, and Breakout, with dozens of predefined interventions per game that alter the agents' actions. Covering three Atari environments, this dataset incorporates multiple interventions and state transitions for each environment, targeting reinforcement learning tasks.