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.

1 question with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
1
vote
0answers
46 views

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

Seung et.al 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 ...