Increasing generality in machine learning through procedural content generation
We recently published a paper on increasing generality in machine learning through procedural content generation:
https://www.nature.com/articles/s42256-020-0208-z
if (paywall) then (preprint):
https://arxiv.org/abs/1911.13071
Outside of games and game-like environments, what are some ways you think we can use PCG and PCG-like methods to help fight overfitting and create more general intelligence?
https://www.nature.com/articles/s42256-020-0208-z
if (paywall) then (preprint):
https://arxiv.org/abs/1911.13071
Outside of games and game-like environments, what are some ways you think we can use PCG and PCG-like methods to help fight overfitting and create more general intelligence?