Evaluating the impact of curriculum learning on the training process for an intelligent agent in a video game

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<dc:creator>Camargo, Jorge E.</dc:creator>
<dc:creator>Sáenz, Rigoberto</dc:creator>
<dc:date>2021-10-04</dc:date>
<dc:description xml:lang="es">Sumario: We want to measure the impact of the curriculum learning technique on a reinforcement training setup, several experiments were designed with different training curriculums adapted for the video game chosen as a case study. Then all were executed on a selected game simulation platform, using two reinforcement learning algorithms, and using the mean cumulative reward as a performance measure. Results suggest that curriculum learning has a significant impact on the training process, increasing training times in some cases, and decreasing them up to 40% percent in some other cases.

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<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/177575.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Machine learning</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Evaluating the impact of curriculum learning on the training process for an intelligent agent in a video game</dc:title>
<dc:relation xml:lang="es">En: Revista Iberoamericana de Inteligencia Artificial. -  : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- = ISSN 1988-3064. - 04/10/2021 Volumen 24 Número 68 - octubre 2021 , p. 1-20</dc:relation>
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