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...

Full description

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