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MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management
Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature. However, existing RL-based approaches rarely focus on scalability or reusability to adapt to the ever-changing markets. These approaches are rigid...
Autores principales: | Huang, Zhenhan, Tanaka, Fumihide |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856562/ https://www.ncbi.nlm.nih.gov/pubmed/35180235 http://dx.doi.org/10.1371/journal.pone.0263689 |
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