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Comportamiento de agentes en videojuegos con aprendizaje por refuerzo

Authors: Bretons Gómez, Cristina;

Comportamiento de agentes en videojuegos con aprendizaje por refuerzo

Abstract

Este proyecto tiene como objetivo el desarrollo de un videojuego de fútbol 2 contra 2, en el cual los jugadores humanos pueden interactuar y competir junto a agentes controlados por inteligencia artificial, específicamente entrenados mediante el uso de técnicas avanzadas de aprendizaje por refuerzo. A lo largo del juego, los agentes han sido diseñados para mejorar su rendimiento progresivamente, adaptándose a las dinámicas del partido y ofreciendo un desafío cada vez mayor a los jugadores humanos. El enfoque principal del proyecto es integrar agentes autónomos capaces de aprender y evolucionar en sus estrategias, brindando una experiencia de juego dinámica y personalizada, en la que los usuarios se enfrenten a niveles crecientes de dificultad. Esto no solo permite una interacción fluida y equilibrada entre humanos y máquinas, sino que también impulsa la innovación en el desarrollo de videojuegos basados en inteligencia artificial.

This project aims at developing a 2 vs 2 football video game, in which human players can interact and compete alongside AI-controlled agents, specifically trained using advanced reinforcement learning techniques. Throughout the game, the agents have been designed to progressively improve their performance, adapting to the dynamics of the match and offering an ever-increasing challenge to human players. The main focus of the project is to integrate autonomous agents capable of learning and evolving their strategies, providing a dynamic and personalized gaming experience, in which users face increasing levels of difficulty. This not only allows for a fluid and balanced interaction between humans and machines, but also drives innovation in the development of AI-based video games.

Country
Spain
Keywords

Artificial intelligence, model, 330, inteligència artificial, Videojocs, Intel·ligència artificial, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, agent, videogame, artificial intelligence, Video games, curriculum learning, aprenentatge, videojoc

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selected citations
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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!
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