SMACv2
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/oxwhirl/smac
下载链接
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资源简介:
该数据集是一个基准测试,涵盖了代表多智能体强化学习任务不同难度级别的多种情景。它包含了各种地图,如3s5z对战3s6z、MMM2、27m对战30m、走廊、2c对战64zg以及5m对战6m等。这些情景按照难度分为简单、困难和超困难等级别。该数据集的任务针对的是多智能体强化学习。
This dataset is a benchmark test covering various scenarios representing different difficulty levels of multi-agent reinforcement learning tasks. It includes multiple maps such as 3s5z vs 3s6z, MMM2, 27m vs 30m, Corridor, 2c vs 64zg, and 5m vs 6m. These scenarios are categorized into three difficulty tiers: easy, hard, and ultra-hard. The tasks of this dataset are tailored for multi-agent reinforcement learning research.
提供机构:
StarCraft II



