Apr 5, 2023 · This paper introduces a novel network architecture called Dense Based EIIE (DBE), which is embedded in an DRL framework based on Convolutional Neural Network ( ...

In portfolio management, investors allocate assets periodically in consecutive trading periods to maximize the cumulative return [1]. Research [2] shows that ...

This paper introduces a novel network architecture called Dense Based EIIE (DBE), which is embedded in an DRL framework based on Convolutional Neural Network ( ...

PDF | On Oct 1, 2022, Ruoyi Gao and others published A Novel DenseNet-based Deep Reinforcement Framework for Portfolio Management | Find, read and cite all ...

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A Novel DenseNet-based Deep Reinforcement Framework for Portfolio Management. Ruoyi Gao, Fengchen Gu, Ruoyu Sun, Angelos Stefanidis, Xiaotian Ren, Jionglong ...

Novel frameworks like the DSRG Network have demonstrated superior performance in terms of returns compared to traditional strategies (Qin et al., 2022) .

A financial-model-free Reinforcement Learning framework to provide a deep machine learning solution to the portfolio management problem, able to achieve at ...

Dec 1, 2023 · This paper presents A&I Trader, an RL-based model that incorporates this effect. The model formulates investment policies by utilizing a double Temporal ...

A framework, based on the hierarchical Deep Q-Network, that addresses the issue of zero commission fee by reducing the number of assets assigned to each ...