Briefly state what each of these two terms aims to achieve.
Generative Adversarial Networks traditionally made use of a two-player
zero-sum game between a Generator Gθ and a
Discriminator Dψ, to compute
minθ maxψ (V(Gθ, Dψ))
Give the formula for V(Gθ, Dψ).
Explain why it may be advantageous to change the GAN algorithm
so that the game is no longer zero-sum, and write the formula
that the Generator would try to maximize in that case.
In the context of GANs, briefly explain what is meant by
mode collapse,
and list three different methods for avoiding it.