Title
Story creation algorithm using Q-learning in a 2D action RPG video game
Date Issued
27 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
IEEE Computer Society
Abstract
In this paper, we try to solve the problem of making video games with multiple storylines. To do this, we developed an algorithm capable of generating variations in the game's story through altering the behaviors of the characters. For this task, we use Q-Learning. Our results indicate that this algorithm may be viable to be used in video games for commercial purposes.
Volume
2021-January
Language
English
OCDE Knowledge area
Otras ingenierías y tecnologías
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-85101189910
Source
Conference of Open Innovation Association, FRUCT
Resource of which it is part
Conference of Open Innovation Association, FRUCT
ISSN of the container
23057254
ISBN of the container
978-952692444-1
Conference
28th Conference of Open Innovations Association FRUCT, FRUCT 2021
Sources of information:
Directorio de Producción Científica
Scopus