Article

Exploration-based learning of a stabilizing controller predicts locomotor adaptation

2021-03-19

Abstract excerpt

<h4>ABSTRACT</h4> Humans adapt their locomotion seamlessly in response to changes in the body or the environment. We do not understand how such adaptation improves performance measures like energy consumption or symmetry while avoiding falling. Here, we model locomotor adaptation as interactions between a stabilizing controller that reacts quickly to perturbations and a reinforcement learner that gradually improv...

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Literature Corpus work: 8e871bcf-2369-5395-b743-d70ada2dacaa
DOI: 10.1101/2021.03.18.435986

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