Conway's reverse game of life

Code created for the Kaggle competition Conway's reverse git cogame of life.

Link of the competition: https://www.kaggle.com/c/conways-reverse-game-of-life-2020

The task : given a 25x25 cyclic grid, can we predict what was the state of the grid one step before?

The approach:

• We create a function f which extends the game of life to all values between 0 and 1.

• We then look for an input grid which minimizes the loss between the target grid and f(input grid).

In the jupyter notebooks we explore different ways to define f and different ways to train the model.

Defining f

In the Game of Life, the next state of a cell depends on:

• the current state of the cell,
• the current number of alive cells surrounding the cell we are considering.