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
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oai:repositorio.uniandes.edu.co:1992/64701 |
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UNIANDES2 |
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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 |
dc.type.content.es_CO.fl_str_mv |
Text |
dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/TP |
format |
http://purl.org/coar/resource_type/c_7a1f |
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 |
dc.identifier.repourl.es_CO.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
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 |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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 |
eu_rights_str_mv |
openAccess |
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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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". (2019, June 20). Luecx/NEAT. Retrieved from Github: https://github.com/Luecx/NEAT/tree/master/vid%209/src/neatIBM Cloud Education. (2020, August 17). Neural Networks. Retrieved from ibm.com: https://www.ibm.com/uk-en/cloud/learn/neural-networksKenneth O. Stanley, R. M. (2002). Evolving Neural Networks Through Augmenting Topologies. Evolutionary Computation(2), 99-127. Retrieved from http://nn.cs.utexas.edu/?stanley:ec02Mallawaarachchi, V. (2007, July 07). Introduction to Genetic Algorithms. Retrieved from Toward data science: https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-co de-e396e98d8bf3smwcentral.net. (na, na na). SMW Memory map. Retrieved from SMW Central: https://www.smwcentral.net/?p=memorymap&game=smwThompson, L. (2019, August 2). Sonic Bot in OpenAi and NEAT. 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