A universal supervisor controller and ER suite for Webots that can be adapted to any wheeled robot morphology with ease. The project is also setup to allow for easy Reinforcement Learning ...

Abstract: This paper presents the RB-IPOP-CMA-ES algorithm which is an enhanced version of IPOP-CMA-ES. The algorithm uses midpoint of the population as an approximation of the optimum. The midpoint ...

Abstract: This paper studies the parameter estimation problems of nonlinear systems with colored noise using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most ...

Automated algorithm selection promises to support the user in the decisive task of selecting a most suitable algorithm for a given problem. A common component of these machine-trained techniques are ...