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Research on Optimal Portfolio of DDPG Strategy Based on Deep Reinforcement Learning

Kai Jing

Abstract


With the continuous development of artificial intelligence and large numbers, people are no longer satisfied with the traditional
investment portfolio method. This paper proposes a way of investment portfolio based on reinforcement learning, and researches stocks
through deep deterministic strategy gradient algorithm. We set up stock virtual account assets, set rewards and punishments, and charge certain transaction fees, so that the agent can carry out autonomous transactions to achieve the effect of decision optimization.

Keywords


Deep Deterministic Strategy Gradient Algorithm; Agent; Decision Optimization

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References


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Technology, 2022.

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DOI: http://dx.doi.org/10.18686/fm.v9i2.12434

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