Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents

Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents

In this study, we 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 guide agent. Each feature of the dataset has one of the main and guide agents, and these agents dec...

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Bibliographic Details
Main Authors: Minwoo Kim, Jinhee Bae, Bohyun Wang, Hansol Ko, Joon S. Lim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
feature selection
guide agents
main agents
multi-agent
reinforcement learning (RL)
rewards
Online Access:https://www.mdpi.com/1424-8220/23/1/98

Internet

https://www.mdpi.com/1424-8220/23/1/98

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