Feature selection method using multi-agent reinforcement learning based on guide agents

HIGHLIGHTS

• who: Minwoo Kim et al. from the Department of Computer Science, Gachon University, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea have published the article: Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents, in the Journal: Sensors 2023, 98 of /2023/
• what: The authors propose a method to automatically find features from a dataset that are effective for classification or prediction using a new method called multi-agent reinforcement learning and a agent. The aim of this study was to develop an effective and efficient feature selection evaluate its own . . .
  

   

  

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