DQN-Trading

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It seems training not working(rewards don't converge at all)

2

This repo is pretty awesome. I'm trying to run a basic demo, but the training process seems not working at all (rewards don't converge at all). However, the agent still...

zhiyiZeng

__init__() got an unexpected keyword argument 'EPS'

2

formidiable

I'm trying to run the Main.py, it runs perfectly, the only issue here is that it writes new data(BTC-USD) to the file data_processed.csv but it does not plot it into...

dekacypher

**Warning Risk of data leak Do not use [minmax_scale](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html#sklearn.preprocessing.minmax_scale) unless you know what you are doing. A common mistake is to apply it to the entire data before splitting into...

formidiable

Can't Train or Get Inference while Batch Size = 1

2

I searched a lot but couldn't find a proper way to fix this.  I believe Batch Normalization cause the problem. Do you have any advice about it ?

formidiable

> def get_reward(self, action): > """ > @param action: based on the action taken it returns the reward > @return: reward > """ > > reward_index_first = self.current_state_index + self.start_index_reward...

formidiable