You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm trying to replicate the result of SafeOpt on the MovieLen 100k dataset and use it as a baseline for my class project. I tried to follow the procedure described in the paper but I failed to reproduce the result. Can I get some help? Thank you!
Here are the steps that I followed:
And here is my code:
The problem right now is that
the algorithm breaks the safety constraint pretty quick (explored movies that have a 1.0 rating)
the algorithm tends to be stuck at one or multiple high rating recommendations after some iterations and it is not able to generate novel results.
similar to the second point, it explores only a small portion of the reachable set
We experimented with different std and noise variance but did not actually make significant improvement. I wonder do you notice any mistake we made in our code? In addition, would it be possible to share the code you used for the evaluation in the paper?
Thank you very much!
The text was updated successfully, but these errors were encountered:
Hi there!
I'm trying to replicate the result of SafeOpt on the MovieLen 100k dataset and use it as a baseline for my class project. I tried to follow the procedure described in the paper but I failed to reproduce the result. Can I get some help? Thank you!
Here are the steps that I followed:
And here is my code:
The problem right now is that
We experimented with different std and noise variance but did not actually make significant improvement. I wonder do you notice any mistake we made in our code? In addition, would it be possible to share the code you used for the evaluation in the paper?
Thank you very much!
The text was updated successfully, but these errors were encountered: