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  • 标题:Fuzzy Reinforcement Learning Rectilinear Follow-up of Trajectory per Robot
  • 本地全文:下载
  • 作者:Youcef Dahmani ; Abdelkader Benyettou
  • 期刊名称:The International Arab Journal of Information Technology
  • 印刷版ISSN:1683-3198
  • 出版年度:2005
  • 卷号:2
  • 期号:3
  • 出版社:Zarqa Private University
  • 摘要:Knowing the action space of an order, the objective consists in distributing this space in a certain set of actions equitably in order to choose the famous action among the candidate ones. This process is ensured by reinforcement learning aided by fuzzy logic. We have established an algorithm applying the fuzzy Q-learning with a fuzzy limited lexicon. We have applied it to a robot for the training of the follow-up of a rectilinear trajectory from a starting point “D” at an unspecified arrival point "A", while avoiding with the robot butting against a possible obstacle. The goal of this work tries to answer the question, in what the reinforcement learning applied to fuzzy logic can be of interest in the field of the reactive navigation of a mobile robot
  • 关键词:Mobile robot; navigation; reinforcement learning; fuzzy logic; fuzzy Q-learning; fuzzy inference system
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