Hidden-layer configurations in reinforcement learning models for stock portfolio optimization

In the rapidly evolving field of artificial intelligence and financial markets, efficient and adaptive portfolio management strategies are becoming increasingly critical. This study explores the impact of hidden-layer configurations in reinforcement learning models for stock portfolio optimization....

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Bibliographic Details
Main Authors: Patrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik Faturohman
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Intelligent Systems with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305324001418
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