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
Cheers, I'm currently running my personalized evolutionary algorithms through EVOX and I'm also testing them in different Brax envs, not only in numerical optimization testbeds.
I was only checking swimmer and halfcheetah but I'm wondering what are some of the hardest environments to achieve good fitness (like top 2 or top 3);
I'm currently using very simple MLPs and I just switch shapes depending on the obs and action dims of each environment but I'm not really sure if there's like a general architecture where people benchmark their stuff? img below
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
Cheers, I'm currently running my personalized evolutionary algorithms through EVOX and I'm also testing them in different Brax envs, not only in numerical optimization testbeds.
I was only checking swimmer and halfcheetah but I'm wondering what are some of the hardest environments to achieve good fitness (like top 2 or top 3);
I'm currently using very simple MLPs and I just switch shapes depending on the obs and action dims of each environment but I'm not really sure if there's like a general architecture where people benchmark their stuff? img below
Beta Was this translation helpful? Give feedback.
All reactions