Learning from Successful and Failed Demonstrations via Optimization
Brendan Hertel,S. Reza Ahmadzadeh,Brendan Hertel,S. Reza Ahmadzadeh
Learning from Demonstration (LfD) is a popular approach that allows humans to teach robots new skills by showing the correct way(s) of performing the desired skill. Human-provided demonstrations, however, are not always optimal and the teacher usually addresses this issue by discarding or replacing sub-optimal (noisy or faulty) demonstrations. We propose a novel LfD representation that learns from...
