-
Notifications
You must be signed in to change notification settings - Fork 70
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
the network parameters about target critic and critic network #10
Comments
It seems that the parameters of target_critic network should be updated as target_critic = tau*critic + (1-tau)*target_critic. And the actual critic networks is updated according to gradient of loss function. I am working on this code these days. If I am wrong, please correct it and feel free to contact me. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
self.target_critic.load_state_dict(critic_state_dict)
above code seems make target critic network's parameter always be same as the critic network's. So what is the purpose? making the network learn more slowly?
Hope somebody help me!
The text was updated successfully, but these errors were encountered: