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
Through the paper, I learned the working mechanism of observation dropout. But, during training, when decoding the h and s to the output, why not use the observation dropout ?
The text was updated successfully, but these errors were encountered:
The observation dropout is only used to drop the input observation fed to the posterior. There is no need to additionally dropout when feeding the state to the policy.
The observation dropout is only used to drop the input observation fed to the posterior. There is no need to additionally dropout when feeding the state to the policy.
However, In the screenshot, you always use the posterior sample to decoder action and BEV. That's to say, you do not use the dropout when action decoding and BEV decoding, you just use it for the input of GRU.
Through the paper, I learned the working mechanism of observation dropout. But, during training, when decoding the h and s to the output, why not use the observation dropout ?
The text was updated successfully, but these errors were encountered: