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IEEE Trans Neural Netw Learn Syst ; 33(3): 908-918, 2022 03.
Artículo en Inglés | MEDLINE | ID: mdl-33147150

RESUMEN

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.


Asunto(s)
Juegos de Video , Inteligencia Artificial , Humanos , Redes Neurales de la Computación , Aprendizaje Automático Supervisado
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