Monte Carlo Tree Search as a Tool for Self-Learning and Teaching People to Play Complete Information Board Games
Artificial intelligence allows computer systems to make decisions similar to those of humans. However, the expert knowledge that artificial intelligence systems have is rarely used to teach non-expert humans in a specific knowledge domain. In this paper, we want to explore this possibility by propos...
Guardado en:
Autores principales: | Víctor Gonzalo-Cristóbal, Edward Rolando Núñez-Valdez, Vicente García-Díaz, Cristian González García, Alba Cotarelo, Alberto Gómez |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/824b238f67934bc08fdf098cf4f05c8b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Explainable Artificial Intelligence for Human-Machine Interaction in Brain Tumor Localization
por: Morteza Esmaeili, et al.
Publicado: (2021) -
Artificial Intelligence for Monte Carlo Simulation in Medical Physics
por: David Sarrut, et al.
Publicado: (2021) -
Corrigendum: Artificial Intelligence for Monte Carlo Simulation in Medical Physics
por: David Sarrut, et al.
Publicado: (2021) -
Monte Carlo methods and applications
Publicado: (1995) -
Utilising Partial Momentum Refreshment in Separable Shadow Hamiltonian Hybrid Monte Carlo
por: Wilson Tsakane Mongwe, et al.
Publicado: (2021)