Questions tagged [game-gan]

For questions related to the GameGAN, a generative model that learns to visually imitate a desired game by ingesting screenplay and keyboard actions during training. GameGAN was introduced in the paper "Learning to Simulate Dynamic Environments with GameGAN" (2020) by Seung Wook Kim et al.

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Will adding memory to a supervised learning system makes it into a Bayesian learning system?

Seung recently published GameGAN paper, GameGAN learned and stored the whole Pacman game and was able to reproduce it without a game engine. The uniqueness of GameGAN is that it had added memory ...