The Living Thing / Notebooks :

Generative adversarial learning

Game theory meets learning. Hip, especially in combination with deep learning.

I don’t know anything about it. Something about training two systems together to both generate and classify examples of a phenomenon of interest.

Sanjeev Arora gives a cogent intro He also suggests a link with learning theory. Here is a spreadsheet interface for exploring GAN latent spaces.

See also Delving deep into Generative Adversarial Networks, a “curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.”

The GAN Zoo, “A list of all named GANs!”

To discover: precise relationship of deep GANS with, e.g. adversarial training in games and bandit problems.

Implementations

(non-exhaustive.)

Refs