That's an interesting thought — there are definitely a lot of corner cases where the peers technically converge, but the resulting state is obviously not what a

That's an interesting thought — there are definitely a lot of corner cases where the peers technically converge, but the resulting state is obviously not what a human would want. But with the neural network approach, how would you ensure the peers even arrive at the same state?