no code implementations • 18 Jun 2020 • Cem C. Tutum, Suhaib Abdulquddos, Risto Miikkulainen
In order to deploy autonomous agents in digital interactive environments, they must be able to act robustly in unseen situations.
no code implementations • 13 Feb 2020 • Cem C. Tutum, Risto Miikkulainen
This paper proposes a principled approach where a context module is coevolved with a skill module.
no code implementations • 25 Mar 2019 • Cameron R. Wolfe, Cem C. Tutum, Risto Miikkulainen
However, while static designs are easily produced with 3D printing, functional designs with moving parts are more difficult to generate: The search space is too high-dimensional, the resolution of the 3D-printed parts is not adequate, and it is difficult to predict the physical behavior of imperfect 3D-printed mechanisms.
no code implementations • 19 Apr 2018 • Cem C. Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen
The proposed methodology for discovering solutions to this problem consists of three components: First, an effective search space is learned through a variational autoencoder (VAE); second, a surrogate model for functional designs is built; and third, a genetic algorithm is used to simultaneously update the hyperparameters of the surrogate and to optimize the designs using the updated surrogate.