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LeagueAI: Análisis y Mejora

Authors: Salguero Cárceles, Raúl;

LeagueAI: Análisis y Mejora

Abstract

El siguiente trabajo consiste en realizar el análisis y mejora del proyecto LeagueAI (del cual me ha proporcionado permiso su autor original), que tiene como objetivo crear un bot que sea capaz de jugar al videojuego League of Legends a partir del reconocimiento de imágenes mostradas en pantalla. El foco se encuentra en la utilización y manejo de diversas tecnologías y plataformas como CUDA, PyTorch o YOLO detector con el fin de obtener una detección lo más efectiva y eficiente posible para la automatización del jugador en el videojuego.

Country
Spain
Related Organizations
Keywords

Windows, YOLO detector, Videojuegos, League of Legends, IA, Nvidia, CUDA, Ciencia de la Computación e Inteligencia Artificial, Python, Pytorch

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green