SC2LE

该数据集是一个用于评估强化学习算法在《星际争霸II》中的平台，涵盖了多种游戏场景和难度级别。它包含了游戏状态、智能体采取的行动以及不同难度级别下的性能指标。该数据集的规模为64x64的地图，旨在针对游戏策略优化任务进行强化学习研究。

This dataset is a platform for evaluating reinforcement learning algorithms in the *StarCraft II* game environment. It covers diverse game scenarios and difficulty levels, and includes game states, actions taken by agents, and performance metrics across different difficulty levels. Featuring 64×64 maps, this dataset is tailored for reinforcement learning research focused on game strategy optimization tasks.