Chained NEAT implementation for better adapting neural networks applied to Super Mario World

Con uso de redes neuronales encadenadas basadas en NEAT se crea un prototipo de un agente, juega el videojuego "Super Mario World" con posibilidad de adaptarse a varios niveles.

Autores:
Kavanagh, Tomas
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2021
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/64701
Acceso en línea:
http://hdl.handle.net/1992/64701
Palabra clave:
NEAT
redes neuronales
neural networks
Genetic algorithm
video games
video game agent
chained
Ingeniería
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNIANDES2_31b241aa894c1c17a881ab2bbab79280
oai_identifier_str oai:repositorio.uniandes.edu.co:1992/64701
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network_name_str Séneca: repositorio Uniandes
repository_id_str
dc.title.none.fl_str_mv Chained NEAT implementation for better adapting neural networks applied to Super Mario World
title Chained NEAT implementation for better adapting neural networks applied to Super Mario World
spellingShingle Chained NEAT implementation for better adapting neural networks applied to Super Mario World
NEAT
redes neuronales
neural networks
Genetic algorithm
video games
video game agent
chained
Ingeniería
title_short Chained NEAT implementation for better adapting neural networks applied to Super Mario World
title_full Chained NEAT implementation for better adapting neural networks applied to Super Mario World
title_fullStr Chained NEAT implementation for better adapting neural networks applied to Super Mario World
title_full_unstemmed Chained NEAT implementation for better adapting neural networks applied to Super Mario World
title_sort Chained NEAT implementation for better adapting neural networks applied to Super Mario World
dc.creator.fl_str_mv Kavanagh, Tomas
dc.contributor.advisor.none.fl_str_mv Takahashi Rodríguez, Silvia
dc.contributor.author.none.fl_str_mv Kavanagh, Tomas
dc.subject.keyword.none.fl_str_mv NEAT
redes neuronales
neural networks
Genetic algorithm
video games
video game agent
chained
topic NEAT
redes neuronales
neural networks
Genetic algorithm
video games
video game agent
chained
Ingeniería
dc.subject.themes.es_CO.fl_str_mv Ingeniería
description Con uso de redes neuronales encadenadas basadas en NEAT se crea un prototipo de un agente, juega el videojuego "Super Mario World" con posibilidad de adaptarse a varios niveles.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-07-09
dc.date.accessioned.none.fl_str_mv 2023-02-06T19:46:57Z
dc.date.available.none.fl_str_mv 2023-02-06T19:46:57Z
dc.type.es_CO.fl_str_mv Trabajo de grado - Pregrado
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
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status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/1992/64701
dc.identifier.instname.es_CO.fl_str_mv instname:Universidad de los Andes
dc.identifier.reponame.es_CO.fl_str_mv reponame:Repositorio Institucional Séneca
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url http://hdl.handle.net/1992/64701
identifier_str_mv instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
repourl:https://repositorio.uniandes.edu.co/
dc.language.iso.es_CO.fl_str_mv eng
language eng
dc.relation.references.es_CO.fl_str_mv "Luecx". (2019, June 20). Luecx/NEAT. Retrieved from Github: https://github.com/Luecx/NEAT/tree/master/vid%209/src/neat
IBM Cloud Education. (2020, August 17). Neural Networks. Retrieved from ibm.com: https://www.ibm.com/uk-en/cloud/learn/neural-networks
Kenneth O. Stanley, R. M. (2002). Evolving Neural Networks Through Augmenting Topologies. Evolutionary Computation(2), 99-127. Retrieved from http://nn.cs.utexas.edu/?stanley:ec02
Mallawaarachchi, V. (2007, July 07). Introduction to Genetic Algorithms. Retrieved from Toward data science: https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-co de-e396e98d8bf3
smwcentral.net. (na, na na). SMW Memory map. Retrieved from SMW Central: https://www.smwcentral.net/?p=memorymap&game=smw
Thompson, L. (2019, August 2). Sonic Bot in OpenAi and NEAT. Retrieved from Gitlab: https://gitlab.com/lucasrthompson/Sonic-Bot-In-OpenAI-and-NEAT
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
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dc.format.extent.es_CO.fl_str_mv 16 paginas
dc.format.mimetype.es_CO.fl_str_mv application/pdf
dc.publisher.es_CO.fl_str_mv Universidad de los Andes
dc.publisher.program.es_CO.fl_str_mv Ingeniería de Sistemas y Computación
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv Departamento de Ingeniería Sistemas y Computación
institution Universidad de los Andes
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spelling Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Takahashi Rodríguez, Silviaa5c70009-673b-477f-a1ac-332309cd9590600Kavanagh, Tomasb41ac3d0-1d2e-4b91-972c-14ee1b7ab28b6002023-02-06T19:46:57Z2023-02-06T19:46:57Z2021-07-09http://hdl.handle.net/1992/64701instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Con uso de redes neuronales encadenadas basadas en NEAT se crea un prototipo de un agente, juega el videojuego "Super Mario World" con posibilidad de adaptarse a varios niveles.Using chained neural networks based on NEAT, we developed a prototype capable of playing "Super Mario World" with a better capability of adapting to different levelsIngeniero de Sistemas y ComputaciónPregrado16 paginasapplication/pdfengUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería Sistemas y ComputaciónChained NEAT implementation for better adapting neural networks applied to Super Mario WorldTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPNEATredes neuronalesneural networksGenetic algorithmvideo gamesvideo game agentchainedIngeniería"Luecx". 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