Also, unsupervised. Also, no rollouts. They got rid of a lot of complexity. At this point it looks like a reasonable challenge to write a superhuman Go AI in 500 lines of unobfuscated python.
I was wondering about this: can we study AlphaGo Zero and other nets created in the same way for similarities, extract and study them? Or are we limited to observing the behavior and learning from that?
'rollouts' ELI5? I didnt pick this up from the paper..