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Hi, I was doing a research that shares the same direction as yours. I am think may be include batch normalize in the model for predicting states in RL is good for it stabilizing training, but I am also concerned that the batch normalize could bring some disadvantages since the model is not working in a mini-batch.
Do you have any insight on this issue? Or did you do a experiment on whether batch normalize is good for state prediction in RL?
Your work is definitely of huge interests for the community and I appreciate that you release the code and open for discussion.
The text was updated successfully, but these errors were encountered:
Hi, I was doing a research that shares the same direction as yours. I am think may be include batch normalize in the model for predicting states in RL is good for it stabilizing training, but I am also concerned that the batch normalize could bring some disadvantages since the model is not working in a mini-batch.
Do you have any insight on this issue? Or did you do a experiment on whether batch normalize is good for state prediction in RL?
Your work is definitely of huge interests for the community and I appreciate that you release the code and open for discussion.
The text was updated successfully, but these errors were encountered: