2 citations · 2 across the 2 of their papers we have counts for
3 papers
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
Deep imitation learning requires many expert demonstrations, which can be hard to obtain, especially when many tasks are involved. However, different tasks often share similarities…
Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
Deep Imitation Learning requires a large number of expert demonstrations, which are not always easy to obtain, especially for complex tasks. A way to overcome this shortage of labe…
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim
Human hand actions are quite complex, especially when they involve object manipulation, mainly due to the high dimensionality of the hand and the vast action space that entails. Im…