Abstract: Highlights•Tailored optimization algorithm for Gaussian process-based model predictive control•Significant reduction of computational complexity with respect to system state dimension•Favorable convergence properties and feasible (suboptimal) solutions at convergence•Parallelization of GP computations using a graphical processing unit•Available open-source code at https://gitlab.ethz.ch/ics/zero-order-gp-mpc
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