Portfolio-Management-ActorCriticRL
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matinaghaei
Portfolio management using Actor-Critic Deep Reinforcement Learning algorithms including A2C, DDPG, and PPO
1.what is the significance of your choice of these two datasets and why is the DIJA2012 dataset for data from 1990 to 2021 and the DIJA2019 dataset for data from...
Hello, During the testing phase of the DDPG algo you made the agent learn from testset. - Should the DDPG continue to learn during production phase ? - If no,...
Hello again, I see that noise is added to predicted action (mu) even during test/eval phase. As noise is used for exploration, shouldn't it be used only during training phase...
Can you explain the principles of code design, especially how the ddpg algorithm relates to portfolios
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Portfolio management using Actor-Critic Deep Reinforcement Learning algorithms including A2C, DDPG, and PPO