A model for general video game learning with HTM
Abstract. A model-based agent, for general game playing in the context of Artificial General Intelligence is proposed. That agent is structured as an utility agent, that models the games through two functions, Transition and Reward. With these functions, a planning phase is proposed using a tree of...
- Autores:
-
Quiñonez Perez, Leonardo Arturo
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/57360
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/57360
http://bdigital.unal.edu.co/53601/
- Palabra clave:
- 0 Generalidades / Computer science, information and general works
37 Educación / Education
79 Artes recreativas y de la actuación / Sports, games and entertainment
Artificial General Intelligence
AGI
Video Game Playing
Atari
Pong
Breakout
Hierarchical Temporal Memory
HTM
Cortical Learning Algorithm
CLA
Model-based
Avatar
Environment
Dynamic Objects
Inteligencia artificial general
Agente basado en modelos
Avatar
Ambiente
Objetos dinamicos
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gomez Perdomo, JonatanQuiñonez Perez, Leonardo Arturo02b52cd4-0128-4166-8d18-7494c71767273002019-07-02T12:45:53Z2019-07-02T12:45:53Z2016-09-08https://repositorio.unal.edu.co/handle/unal/57360http://bdigital.unal.edu.co/53601/Abstract. A model-based agent, for general game playing in the context of Artificial General Intelligence is proposed. That agent is structured as an utility agent, that models the games through two functions, Transition and Reward. With these functions, a planning phase is proposed using a tree of actions. The agent is tested with two Atari games, Breakout and Pong.Se propone un agente basado en modelos para el aprendizaje general de video juegos. El agente se estructura con dos funciones, de transición y de recompenza, que se usan en una fase de planeación. El modelo propuesto se prueba con dos juegos de Atari, Breakout y Pong.Maestríaapplication/pdfspaUniversidad Nacional de Colombia Sede Bogotá Facultad de Ingeniería Departamento de Ingeniería de Sistemas e Industrial Ingeniería de SistemasIngeniería de SistemasQuiñonez Perez, Leonardo Arturo (2016) A model for general video game learning with HTM. Maestría thesis, Universidad Nacional de Colombia - Sede Bogotá.0 Generalidades / Computer science, information and general works37 Educación / Education79 Artes recreativas y de la actuación / Sports, games and entertainmentArtificial General IntelligenceAGIVideo Game PlayingAtariPongBreakoutHierarchical Temporal MemoryHTMCortical Learning AlgorithmCLAModel-basedAvatarEnvironmentDynamic ObjectsInteligencia artificial generalAgente basado en modelosAvatarAmbienteObjetos dinamicosA model for general video game learning with HTMTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMORIGINAL1020733860.2016.pdfapplication/pdf2542806https://repositorio.unal.edu.co/bitstream/unal/57360/1/1020733860.2016.pdfc5f88d293b76a0fa59a071e0022957b5MD51THUMBNAIL1020733860.2016.pdf.jpg1020733860.2016.pdf.jpgGenerated Thumbnailimage/jpeg3980https://repositorio.unal.edu.co/bitstream/unal/57360/2/1020733860.2016.pdf.jpga81c30c8b1a4ea993e4138ce99fb7635MD52unal/57360oai:repositorio.unal.edu.co:unal/573602024-03-27 23:08:28.818Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
dc.title.spa.fl_str_mv |
A model for general video game learning with HTM |
title |
A model for general video game learning with HTM |
spellingShingle |
A model for general video game learning with HTM 0 Generalidades / Computer science, information and general works 37 Educación / Education 79 Artes recreativas y de la actuación / Sports, games and entertainment Artificial General Intelligence AGI Video Game Playing Atari Pong Breakout Hierarchical Temporal Memory HTM Cortical Learning Algorithm CLA Model-based Avatar Environment Dynamic Objects Inteligencia artificial general Agente basado en modelos Avatar Ambiente Objetos dinamicos |
title_short |
A model for general video game learning with HTM |
title_full |
A model for general video game learning with HTM |
title_fullStr |
A model for general video game learning with HTM |
title_full_unstemmed |
A model for general video game learning with HTM |
title_sort |
A model for general video game learning with HTM |
dc.creator.fl_str_mv |
Quiñonez Perez, Leonardo Arturo |
dc.contributor.author.spa.fl_str_mv |
Quiñonez Perez, Leonardo Arturo |
dc.contributor.spa.fl_str_mv |
Gomez Perdomo, Jonatan |
dc.subject.ddc.spa.fl_str_mv |
0 Generalidades / Computer science, information and general works 37 Educación / Education 79 Artes recreativas y de la actuación / Sports, games and entertainment |
topic |
0 Generalidades / Computer science, information and general works 37 Educación / Education 79 Artes recreativas y de la actuación / Sports, games and entertainment Artificial General Intelligence AGI Video Game Playing Atari Pong Breakout Hierarchical Temporal Memory HTM Cortical Learning Algorithm CLA Model-based Avatar Environment Dynamic Objects Inteligencia artificial general Agente basado en modelos Avatar Ambiente Objetos dinamicos |
dc.subject.proposal.spa.fl_str_mv |
Artificial General Intelligence AGI Video Game Playing Atari Pong Breakout Hierarchical Temporal Memory HTM Cortical Learning Algorithm CLA Model-based Avatar Environment Dynamic Objects Inteligencia artificial general Agente basado en modelos Avatar Ambiente Objetos dinamicos |
description |
Abstract. A model-based agent, for general game playing in the context of Artificial General Intelligence is proposed. That agent is structured as an utility agent, that models the games through two functions, Transition and Reward. With these functions, a planning phase is proposed using a tree of actions. The agent is tested with two Atari games, Breakout and Pong. |
publishDate |
2016 |
dc.date.issued.spa.fl_str_mv |
2016-09-08 |
dc.date.accessioned.spa.fl_str_mv |
2019-07-02T12:45:53Z |
dc.date.available.spa.fl_str_mv |
2019-07-02T12:45:53Z |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/57360 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/53601/ |
url |
https://repositorio.unal.edu.co/handle/unal/57360 http://bdigital.unal.edu.co/53601/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Sede Bogotá Facultad de Ingeniería Departamento de Ingeniería de Sistemas e Industrial Ingeniería de Sistemas Ingeniería de Sistemas |
dc.relation.references.spa.fl_str_mv |
Quiñonez Perez, Leonardo Arturo (2016) A model for general video game learning with HTM. Maestría thesis, Universidad Nacional de Colombia - Sede Bogotá. |
dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
institution |
Universidad Nacional de Colombia |
bitstream.url.fl_str_mv |
https://repositorio.unal.edu.co/bitstream/unal/57360/1/1020733860.2016.pdf https://repositorio.unal.edu.co/bitstream/unal/57360/2/1020733860.2016.pdf.jpg |
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repository.name.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
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repositorio_nal@unal.edu.co |
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