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
New abstraction : at each iteration, you give it the stats and it returns the number of samples you need to do for this iteration and whether you need to do cuts or just estimate the upper bound.
It would make it possible to use sophisticated scheduling without the sddp algorithm needing to care about it.
What do you think ? Do you have any idea for a good name (maybe not a bird name here :-P) ?
The text was updated successfully, but these errors were encountered:
New abstraction : at each iteration, you give it the stats and it returns the number of samples you need to do for this iteration and whether you need to do cuts or just estimate the upper bound.
It would make it possible to use sophisticated scheduling without the sddp algorithm needing to care about it.
What do you think ? Do you have any idea for a good name (maybe not a bird name here :-P) ?
The text was updated successfully, but these errors were encountered: