Sensitivity of Joint Estimation in Multi-Agent Iterative Learning Control

Abstract

We consider a group of agents that simultaneously learn the same task, and revisit a previously developed algorithm, where agents share their information and learn jointly. We have already shown that, as compared to an independent learning model that disregards the information of the other agents, and when assuming similarity between the agents, a joint… (More)

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