no code implementations • 29 Nov 2022 • Paula Chanfreut, José María Maestre, Eduardo F. Camacho, Francesco Borrelli
This paper presents a cloud-based learning model predictive controller that integrates three interacting components: a set of agents, which must learn to perform a finite set of tasks with the minimum possible local cost; a coordinator, which assigns the tasks to the agents; and the cloud, which stores data to facilitate the agents' learning.