Article

Using Dynamic Bayesian Optimization to Induce Desired Effects in the Presence of Motor Learning: a Simulation Study

2024-08-16

Abstract excerpt

Human-in-the-loop (HIL) optimization is a control paradigm used for tuning the control parameters of human-interacting devices while accounting for variability among individuals. A limitation of state-of-the-art HIL optimization algorithms such as Bayesian Optimization (BO) is that they assume that the relationship between control parameters and user response does not change over time. BO can be modified to accoun...

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Literature Corpus work: 81e1b782-773f-50f7-afef-445d5ec699b5
DOI: 10.1101/2024.08.13.607783

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