Uncertainty-aware Contact-safe Model-based Reinforcement Learning

no code implementations • 16 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 +2