1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2022★ 1 cited
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao, Yizhou Jiang, Feng Chen
Hierarchical Imitation Learning (HIL) is an effective way for robots to learn sub-skills from long-horizon unsegmented demonstrations. However, the learned hierarchical structure l…
cs.RO2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model
Chongkai Gao, Haichuan Gao, Shangqi Guo +2
Imitation learning (IL) algorithms have shown promising results for robots to learn skills from expert demonstrations. However, they need multi-task demonstrations to be provided a…