I used the N.E.A.T algorithm to teach AI how to control a worm in my game in making! It uses evolution to improve. [P]

The N.E.A.T (NeuroEvolution of Augmenting Topologies) algorithm is an evolutionary machine learning approach that evolves neural networks to solve control problems. This post describes applying N.E.A.T to teach an AI agent to control a worm character in a game development project, using evolutionary algorithms to progressively improve the agent's performance. The approach demonstrates how neuroevolution can be used for game AI training without manual feature engineering or traditional supervised learning methods.

Source: r/MachineLearning | 2026-05-27