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.
Questions tagged [game-gan]
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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 to its discriminator/generator which helped it…
Eka
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