Search Results for author:
Found 3 papers, 0 papers with code
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
In this paper we show that given a 3D model of an object, we can generate its descriptor space image, which allows for supervised training of DONs.
Factored Contextual Policy Search with Bayesian Optimization
Our key observation is that experience can be directly generalized over target contexts.
Factored Contextual Policy Search with Bayesian Optimization
Scarce data is a major challenge to scaling robot learning to truly complex tasks, as we need to generalize locally learned policies over different "contexts".
Cannot find the paper you are looking for? You can
Submit a new open access paper.
