Search Results for author:
Found 3 papers, 3 papers with code
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
This is done by using proto-policies as modules to divide the tasks into simple sub-behaviours that can be shared.
Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Deep Imitation Learning requires a large number of expert demonstrations, which are not always easy to obtain, especially for complex tasks.
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
In this work, we capture the hand information by using a state-of-the-art hand pose estimator.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
