NEAT for video game learning: advancing agent intelligence through evolutionary algorithms
This document presents an exploration of NEAT (NeuroEvolution of Augmenting Topologies) as a powerful approach for training video game agents, with a focus on its application and effectiveness in a specific game. NEAT is a neuroevolutionary algorithm that combines artificial neural networks and gene...
- Autores:
-
Castellamos Matamoros, Boris
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/73636
- Acceso en línea:
- https://hdl.handle.net/1992/73636
- Palabra clave:
- Neat
Galaxian
Video game
Artificial intelligence
Ingeniería
- Rights
- openAccess
- License
- Attribution-ShareAlike 4.0 International