Video credits: Tan et al 2020; Akiba et al. 2024; Ha & Schmidhuber 2018; Bling 2015; Schrum, Karpov et al. 2010; Xin Qiu, Yulu Gan et al. 2025; Wang et al. 2020; Song et al. 2020; Earle et al. 2022; Clune et al. 2013; Lehman et al. 2022.

Neuroevolution has been applied across a wide range of domains—from evolving neural networks that learn to play video games such as Doom, Unreal, and Super Mario, to enabling robots to adapt to unforeseen situations in the real world. Beyond control, its versatility and creative potential make it suitable for many other tasks, including designing soft-robot morphologies, generating video-game levels, and even supporting experiments that help us explore the origins of intelligence in nature.