CRIL: Continual Robot Imitation Learning via Generative and Prediction Model
Chongkai Gao,Haichuan Gao,Shangqi Guo,Tianren Zhang,Feng Chen,Chongkai Gao,Haichuan Gao,Shangqi Guo,Tianren Zhang,Feng Chen
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 at once for acquiring diverse skills, which is difficult in real world. In this work we study how to realize continual imitation learning ability that empowers robots to continually learn new tasks one by one, thus reduci...
