TY - GEN
T1 - Story creation algorithm using Q-learning in a 2D action RPG video game
AU - Fernández-Samillán, Diego
AU - Guizado-Díaz, Carlos
AU - Ugarte, Willy
N1 - Publisher Copyright:
© 2021 IEEE Computer Society. All rights reserved.
PY - 2021/1/27
Y1 - 2021/1/27
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85101189910
U2 - 10.23919/FRUCT50888.2021.9347596
DO - 10.23919/FRUCT50888.2021.9347596
M3 - Contribución a la conferencia
AN - SCOPUS:85101189910
T3 - Conference of Open Innovation Association, FRUCT
BT - Proceedings of the 28th Conference of Open Innovations Association FRUCT, FRUCT 2021
A2 - Balandin, Sergey
A2 - Deart, Vladimir
A2 - Tyutina, Tatiana
PB - IEEE Computer Society
T2 - 28th Conference of Open Innovations Association FRUCT, FRUCT 2021
Y2 - 27 January 2021 through 29 January 2021
ER -