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...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Minwoo Kim, Jinhee Bae, Bohyun Wang, Hansol Ko, Joon S. Lim
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-12-01
主題:	feature selection guide agents main agents multi-agent reinforcement learning (RL) rewards
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/1/98