论文标题
监督学习在MOBA游戏中取得了人级的表现：国王荣誉的案例研究
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
论文作者
论文摘要
我们提出了Juewu-SL，这是第一个基于监督的学习人工智能（AI）计划，该计划在玩多人在线战场（MOBA）游戏中实现了人级的性能。与先前的尝试不同，我们以监督和端到端的方式整合了宏观策略和MOBA游戏播放的微观管理。在目前最受欢迎的MOBA Kings荣誉荣誉测试中，我们的AI在标准5V5场比赛中在高级国王球员的水平上表现出色。
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.
