Search Results for author: Honghu Xue

Found 3 papers, 1 papers with code

Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation

no code implementations5 Jul 2021 Honghu Xue, Rebecca Herzog, Till M Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert

The benefit of ProMPs is that the features are directly learned from the data and ProMPs can capture important features describing the trajectory shape, which can easily be extended to other tasks.

ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing

no code implementations25 Mar 2020 M. Tuluhan Akbulut, Erhan Oztop, M. Yunus Seker, Honghu Xue, Ahmet E. Tekden, Emre Ugur

To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exploration via Reinforcement Learning (RL).

Reinforcement Learning (RL)

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