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
Hi, thank you for making the policy tree and interpreter tools available! They are very useful!
In the meantime, I find it unclear as why you choose to use $\sum_i \sum_k g_{ik} e_{ki}$ as in the official doc. I have a few questions regarding this:
How is $g_{ik}$ obtained? Could you please point out where it is computed in the file tree_criterion.pyx?
Can you help explain the logic behind such a design?
And are there any reference papers I can reach out to for more information?
Similar to this, the logic behind the policy interpreter also remains unclear to me, and it would be super helpful if you can help clarify that.
Thanks!
The text was updated successfully, but these errors were encountered:
Hi, thank you for making the policy tree and interpreter tools available! They are very useful!
In the meantime, I find it unclear as why you choose to use$\sum_i \sum_k g_{ik} e_{ki}$ as in the official doc. I have a few questions regarding this:
tree_criterion.pyx
?Thanks!
The text was updated successfully, but these errors were encountered: