Machine Learning, Deep Learning, Convolution Neural Net, Recurrent Neural Network.
probability densities (unlike GANs), making it straightforward to apply in domains such as compression and probabilistic planning and exploration 2. The training is more stable than GANs : Training a GAN requires finding the Nash equilibrium. Since, there is no algorithm present which does this,