IEEE Trans Neural Netw Learn Syst. 2022 Mar;33(3):908-918. doi: 10.1109/TNNLS.2020.3029475. Epub 2022 Feb 28.
We present JueWu-SL, the first supervised-learning-based artificial intelligence (AI) program that achieves human-level performance in playing multiplayer online battle arena (MOBA) games. Unlike prior attempts, we integrate the macro-strategy and the micromanagement of MOBA-game-playing into neural networks in a supervised and end-to-end manner. Tested on Honor of Kings, the most popular MOBA at present, our AI performs competitively at the level of High King players in standard 5v5 games.
我们提出了 JueWu-SL，这是第一个在多人在线战斗竞技场（MOBA）游戏中达到人类水平表现的基于监督学习的人工智能（AI）程序。与之前的尝试不同，我们以监督和端到端的方式将 MOBA 游戏的宏观策略和微管理集成到神经网络中。在目前最受欢迎的 MOBA 游戏《王者荣耀》上进行测试，我们的 AI 在标准的 5v5 游戏中表现出与高级国王玩家相当的竞争力。
