Search Results for author: Andreas Schaarschmidt

Found 1 papers, 0 papers with code

Uncertainty-aware Contact-safe Model-based Reinforcement Learning

no code implementations16 Oct 2020 Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara

In typical MBRL, we cannot expect the data-driven model to generate accurate and reliable policies to the intended robotic tasks during the learning process due to sample scarcity.

Model-based Reinforcement Learning reinforcement-learning +1

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