Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings (2011.12582v1)

Abstract: We present JueWu-SL, the first supervised-learning-based 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.