Cargando…
The Applicability of Self-Play Algorithms to Trading and Forecasting Financial Markets
The central research question to answer in this study is whether the AI methodology of Self-Play can be applied to financial markets. In typical use-cases of Self-Play, two AI agents play against each other in a particular game, e.g., chess or Go. By repeatedly playing the game, they learn its rules...
Autores principales: | Posth, Jan-Alexander, Kotlarz, Piotr, Misheva, Branka Hadji, Osterrieder, Joerg, Schwendner, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201072/ https://www.ncbi.nlm.nih.gov/pubmed/34136801 http://dx.doi.org/10.3389/frai.2021.668465 |
Ejemplares similares
-
Audience-Dependent Explanations for AI-Based Risk Management Tools: A Survey
por: Hadji Misheva, Branka, et al.
Publicado: (2021) -
Editorial: Explainable, Trustworthy, and Responsible AI for the Financial Service Industry
por: Hadji Misheva, Branka, et al.
Publicado: (2022) -
Editorial: AI and Financial Technology
por: Giudici, Paolo, et al.
Publicado: (2019) -
Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality
por: Osterrieder, Joerg
Publicado: (2023) -
Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms
por: Giudici, Paolo, et al.
Publicado: (2019)