Guodong Xu
@Lausannen Is there a rough time for that? Thanks for opening source such a great work.
@jlapeyre Great job, thanks for you contribution! 1. I haven't going around Julia Lang for a while so it may take me some time to pick up the new feature....
Is there any update? @jgwak Thanks!
Could you please suggest a rough time for the search code release? @kentangSJTU Thanks!
@kentangSJTU Hello, is there any update? It's already March... Thanks!
It's actually the same. `\Sum_{next_state, r} prob(next_state, r| s, a) * (reward + discount_factor * V[next_state])` = `\Sum_{next_state, r} prob(next_state, r| s, a) * reward + \Sum_{next_state, r} prob(next_state, r|...
@ttkxyy , I noticed that in the default setting, the code will runs for 100 epochs, which is different from the 20 epoch mentioned by papers. Did you notice the...
Thanks! @nikitakaraevv , do you have any thoughts on how to do the windowed inference for realtime usage? I just thought a dumb “Window” approach where we windowed inference on...
Thanks! @qasfb I'm wondering do we need the Dino loss except the masked-image-modeling loss during the distillation?