Reinforcement learning give reward after finishing the data classification instead of acting one by one and CNN based reinforcement learning
I am trying to write an reinforcement based based trading system and while trying to do that, the only way that I can do and I found is rewarding the model for each action but it actually performs bad results and couldn’t add the all parameters that I want. F.E I want to add these parameters but for a “acting one by one” model, I couldn’t add these parameters for reward because all of these parameters could be returned after all the long short hold classification finishes