moves on to a different location until the discriminator learns to reject that one - one way that we can try to mitigate the mode collapse problem is with the use of what we call mini-batch features this is introduced in the paper that we presented on Monday night from open AI where the basic idea is to add extra features to the discriminator so the discriminator can look at an entire mini batch of data and if all the different samples in the mini batch are very similar whether the discriminator can realize that mode collapse is