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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書目詳細資料

Principais autores:	Kui Fu, Yidong Yu, Bing Li
格式:	Artigo
語言:	Inglês
出版:	IEEE 2023-01-01
叢編:	IEEE Access
主題:	Supervised reinforcement learning finance and operations reinforcement learning deep deterministic policy gradient long short-term memory
在線閱讀:	https://ieeexplore.ieee.org/document/10195852/
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