What do community members think about ISSAC robot simulation of NVIDIA in GTC conference. The procedure mentioned
in the conference as follows:
Create n agents start actions in environment
Pick best performing agent among all agents
replace the best agent performance in all agents
Repeat step 2
Jensen mentions this enabled accelerating the learning process.

It looks interesting, similar to mujoco. Would love to play around with it.