학술논문

A Simple Deep Q-Network based Feature Selection Method
Document Type
Conference
Source
2023 VTS Asia Pacific Wireless Communications Symposium (APWCS) Wireless Communications Symposium (APWCS), 2023 VTS Asia Pacific. :1-4 Aug, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Training
Wireless communication
Asia
Feature extraction
Generators
DQN
feature selection
reinforcement learning
training time
Language
Abstract
In this paper, a feature selection method based on a Deep Q-Network (DQN), a state generator module as well as a feature selection module is proposed. The state generator module generates a state vector based on the selected feature subset and the summary of dataset. On the other hand, the feature selection module selects features based on the Q-values and a predefined threshold. Our experimental results show that our proposed methods exhibit good performance in terms of training time.