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Enhancing performance in special teams within the NFL through reinforcement learning: A data-driven approach

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dc.contributor.advisorCaicedo Dorado, Alexander
dc.creatorAlvarez Barbosa, Santiago
dc.creator.degreeProfesional en Matemáticas Aplicadas y Ciencias de la Computación
dc.creator.degreeLevelPregrado
dc.creator.degreetypeFull time
dc.date.accessioned2023-09-07T16:54:59Z
dc.date.available2023-09-07T16:54:59Z
dc.date.created2023-07-25
dc.descriptionLa tesis exploró la integración de la Ciencia de Datos y la Inteligencia Artificial en los equipos especiales de fútbol americano. Se utilizó el conjunto de datos NFL Big Data Bowl 2022 y la API de OpenAI Gym para crear un entorno de entrenamiento dinámico. Se entrenaron dos conjuntos de agentes que representaban diferentes posiciones dentro de los equipos especiales con el objetivo de aprender estrategias óptimas para alcanzar sus objetivos. El propósito era proporcionar información a los entrenadores, mejorar los procesos de toma de decisiones y aumentar el rendimiento en jugadas específicas.
dc.description.abstractThe thesis explored the integration of Data Science and Artificial Intelligence in American football special teams. The NFL Big Data Bowl 2022 dataset and the OpenAI Gym API were used to create a dynamic training environment. Two sets of agents representing different positions within special teams were trained with the aim of learning optimal strategies to achieve their objectives. The goal was to provide information to the coaches, enhance decision-making processes, and improve performance in specific plays.
dc.format.extent69 pp
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_40933
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/40933
dc.language.isoeng
dc.publisherUniversidad del Rosario
dc.publisher.departmentEscuela de Ingeniería, Ciencia y Tecnología
dc.publisher.programPrograma de Matemáticas Aplicadas y Ciencias de la Computación - MACC
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
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dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subjectAprendizaje reforzado
dc.subjectCiencia de datos
dc.subjectFútbol americano
dc.subjectInteligencia Artificial
dc.subjectProcesos de toma de decisiones
dc.subject.keywordReinforcement learning
dc.subject.keywordData Science
dc.subject.keywordAmerican football
dc.subject.keywordArtificial Intelligence
dc.subject.keywordDecision-making processes
dc.titleEnhancing performance in special teams within the NFL through reinforcement learning: A data-driven approach
dc.title.TranslatedTitleMejorando el rendimiento en equipos especiales dentro de la NFL mediante el aprendizaje por refuerzo: Un enfoque basado en datos
dc.typebachelorThesis
dc.type.documentTrabajo de grado
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaTrabajo de grado
local.department.reportEscuela de Ciencias e Ingeniería
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