It's Hard for Neural Networks To Learn the Game of Life — mentioned by friedchips

Tue, 26 Aug 2025 11:51:32 GMT

I'm not involved in this project, but I partially replicated the results from Mordvintsev et al. a few years ago because I found the idea interesting. The key idea for me was learning the possibly unknown rules of a CA from training examples. This sounded to me like something that could be useful in science, to learn about spatially distributed processes. Or in ML as a new idea for image classification or segmentation. The hope was always that a CA could be learned which would have a simple discrete representation which could then be used in inference with much lower computational needs than…

Paper and discussion history. A mention is not an endorsement.

It's Hard for Neural Networks To Learn the Game of Life · HackerPapers discussions

It's Hard for Neural Networks To Learn the Game of Life — mentioned by friedchips