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

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<title>Evaluating the impact of curriculum learning on the training process for an intelligent agent in a video game</title>
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<namePart>Camargo, Jorge E.</namePart>
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<namePart>Sáenz, Rigoberto</namePart>
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<abstract displayLabel="Summary">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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<accessCondition type="use and reproduction">La copia digital se distribuye bajo licencia "Attribution 4.0 International (CC BY NC 4.0)"</accessCondition>
<note type="statement of responsibility">Jorge E. Camargo, Rigoberto Sáenz</note>
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<topic>Inteligencia artificial</topic>
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<topic>Machine learning</topic>
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<title>Revista Iberoamericana de Inteligencia Artificial</title>
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<publisher> : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-</publisher>
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<identifier type="issn">1988-3064</identifier>
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<text>04/10/2021 Volumen 24 Número 68 - octubre 2021 , p. 1-20</text>
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