Yeah, makes sense. It seems like when a network stops providing useful adversarial feedback that in and of itself is a learning experience for the smarter network. While it didn't reach an equilibrium it now knows it's at least smarter then the other guy. I feel like it should be able to use that experience of winning to beat the next guy.
It seems like for AI a perfect equilibrium wouldn't be easy to reach, its often hard for the human brain to reach one after all. It'd be the fact that an equilbrium exists though and that it's trained to find it that generates the knowledge along the way. Kinda like a journey not the destination learning method. I'm just theorizing though.
It seems like for AI a perfect equilibrium wouldn't be easy to reach, its often hard for the human brain to reach one after all. It'd be the fact that an equilbrium exists though and that it's trained to find it that generates the knowledge along the way. Kinda like a journey not the destination learning method. I'm just theorizing though.