2 citations · 3 across the 3 of their papers we have counts for
3 papers
Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase Diversity
Alireza Mohammadshafie, Akram Mirzaeinia, Haseebullah Jumakhan +1
Recent deep reinforcement learning (DRL) methods in finance show promising outcomes. However, there is limited research examining the behavior of these DRL algorithms. This paper a…
CNN-DRL with Shuffled Features in Finance
Sina Montazeri, Akram Mirzaeinia, Amir Mirzaeinia
In prior methods, it was observed that the application of Convolutional Neural Networks agent in Deep Reinforcement Learning to financial data resulted in an enhanced reward. In th…
CNN-DRL for Scalable Actions in Finance
Sina Montazeri, Akram Mirzaeinia, Haseebullah Jumakhan +1
The published MLP-based DRL in finance has difficulties in learning the dynamics of the environment when the action scale increases. If the buying and selling increase to one thous…