Hi Vahid,
Thanks for you input. I got what you are saying about the estimating the difference between distribution of real and fake. But, what does negative value mean ? Yeah, It is expected than discriminator loss decreases over time as we are reducing the distance between real and fake but here I was referring to critic(real) - critic(fake) (which is computed after critic training in a given epoch and then looking at the distance between real and fake i.e., after something critic has learned)
And also, are you sure about gradient clipping? I am using Improved training of WGAN where it uses gradient penalty unlike WGAN which uses gradient clipping. The blog kinda seems a detailed explanation, thank you I will go through it.