rlcode/reinforcement-learning

How to add Dropout

hoangcuong2011 opened this issue · 0 comments

Hi all,

Thanks for your amazing project!

I have a question. If I want to add dropout into the network for policy gradient, how can I do that?
I think in order to do that, I need to completely change the code. Right now the workflow is as follows.
Having state -> do a forward computation -> having the output -> compute the gradient -> create a new input, output to train the network -> perform training the network with the <input, output> for one epoch -> repeating again.

However, to add dropout we need to change the workflow as follows:
Having state -> do a forward computation -> having the output -> compute the gradient -> backpropogate the gradient -> modifying network parameters -> repeating.

This would really complicate for an automatic differentiation system like Keras, I think. Any idea?

Thanks a lot for your help!

Best,