Quantum Hyperbolic Deep Learning for Foreign-Exchange Trading: A Hybrid Reinforcement-Learning Pipeline over Attractor-Aware Magnet-Price Manifolds
Foreign-exchange decisions rest on hierarchically organized evidence whose latent structure is inadequately captured by Euclidean representations. Reinforcement-learning agents trained on flat embeddings inherit stability guarantees that do not transfer to the manifold supporting the latent state. W...
Na minha lista:
| Autor principal: | |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-06-01
|
| coleção: | Big Data and Cognitive Computing |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2504-2289/10/6/191 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|