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Jules Kozolinsky

1 accepted papers

2018

Learning a Structured Neural Network Policy for a Hopping Task

RA-L 2018

In this letter, we present a method for learning a reactive policy for a simple dynamic locomotion task involving hard impact and switching contacts where we assume the contact location and contact timing to be unknown. To learn such a policy, we use optimal control to optimize a local controller fo

Cited by 12SourceScholar