Active Improvement of Control Policies with Bayesian Gaussian Mixture Model
Hakan Girgin,Emmanuel Pignat,Noémie Jaquier,Sylvain Calinon,Hakan Girgin,Emmanuel Pignat,Noémie Jaquier,Sylvain Calinon
Learning from demonstration (LfD) is an intuitive framework allowing non-expert users to easily (re-)program robots. However, the quality and quantity of demonstrations have a great influence on the generalization performances of LfD approaches. In this paper, we introduce a novel active learning framework in order to improve the generalization capabilities of control policies. The proposed approa...
