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  • 标题:Evaluating the impact of curriculum learning on the training process for an intelligent agent in a video game
  • 本地全文:下载
  • 作者:Jorge E Camargo ; Rigoberto Sáenz
  • 期刊名称:Inteligencia Artificial : Ibero-American Journal of Artificial Intelligence
  • 印刷版ISSN:1137-3601
  • 电子版ISSN:1988-3064
  • 出版年度:2021
  • 卷号:24
  • 期号:68
  • 语种:English
  • 出版社:Spanish Association for Intelligence Artificial
  • 摘要: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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