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CNN-DRL with Shuffled Features in Finance
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.
CNN-DRL for Scalable Actions in Finance
To address this, we designed a CNN agent that concatenates the data from the last ninety days of the daily feature vector to create the CNN input matrix.
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