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Hi, Dear authors,
It seem the predictor is just a tranditional model not a network model. Why did you say using LSTM in the predictor model in your paper? (Deep reinforcement learning for de novo drug design)
I think only the generator was based on the network model, right? I am so confused when I comparing your code with your paper, please give some help to your readers. If you have update the codes, please let me know.
The text was updated successfully, but these errors were encountered:
This is an ongoing project, so I'm constantly working on it and adding new features. You can find the demo for training the LSTM model in RecurrentQSAR-example-jak2.ipynb and RecurrentQSAR-example-logP.ipynb ipython-notebooks. I also added a couple of new features for the reinforcement learning part (a follow-up paper will be coming soon).
Hi, Dear authors,
It seem the predictor is just a tranditional model not a network model. Why did you say using LSTM in the predictor model in your paper? (Deep reinforcement learning for de novo drug design)
I think only the generator was based on the network model, right? I am so confused when I comparing your code with your paper, please give some help to your readers. If you have update the codes, please let me know.
The text was updated successfully, but these errors were encountered: