Multi-Feature Supervised Reinforcement Learning for Stock Trading

Deep reinforcement learning (DRL) algorithm is often used to find the best trading strategy in algorithmic trading. However, the classical DRL model is difficult to achieve rapid convergence, and the features extracted from the market data are relatively simple, resulting in incomplete DRL learning...

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Detalles Bibliográficos

Principais autores:	Kui Fu, Yidong Yu, Bing Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2023-01-01
Series:	IEEE Access
Assuntos:	Supervised reinforcement learning finance and operations reinforcement learning deep deterministic policy gradient long short-term memory
Acceso en liña:	https://ieeexplore.ieee.org/document/10195852/
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