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