-
Notifications
You must be signed in to change notification settings - Fork 127
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
Returning same slate after every iteration #21
Comments
Hi, thanks for using RecSim. I can help provide some pointers to help with further debugging:
Hope this helps! |
Thanks @vihanjain for your response. To elaborate on this:
What we have tried so far to debug:
LOGS...
Below ss shows weights in different iterations: |
@vihanjain any help would be appreciated. |
@vihanjain Let us know your thoughts on this, also if some more details are required? |
Thanks for the great work @cwhsu-google. Our team is trying to use RecSim for slate recommendation.
After training the agent (slate_decomp_q_agent) for 300k steps. I tried loading different checkpoints and to generate slates for the same user (to understand convergence of q values) but the slates returned after every iteration are the same.
Here is my script that I used for prediction:
inference.py
prediction.py
These graphs were generated on tensorboard:
Most importantly I am looking answers for the following
Any help would be appreciated
The text was updated successfully, but these errors were encountered: