Deep RTS

该数据集是一个专为人工智能研究设计的高性能实时战略游戏环境，它能够加速在多种实时战略场景中的学习过程。此外，Deep RTS 允许通过不同配置来测试各种场景，包括部分可观察的状态空间和不同复杂度的地图。在最小配置下，该数据集支持高达每秒700万的更新速度，其任务是测试和评估在实时战略游戏中的AI算法。

This dataset is a high-performance real-time strategy (RTS) game environment specifically designed for artificial intelligence research, which accelerates the learning process across diverse real-time strategy scenarios. Furthermore, Deep RTS enables testing of various scenarios via different configurations, including partially observable state spaces and maps with varying complexity levels. Under the minimal configuration, this dataset supports up to 7 million updates per second, and its core task is to test and evaluate AI algorithms in real-time strategy games.