Learning and Retrieval from Prior Data for Skill-based Imitation Learning

@article{Nasiriany2022LearningAR,
  title={Learning and Retrieval from Prior Data for Skill-based Imitation Learning},
  author={Soroush Nasiriany and Tian Gao and Ajay Mandlekar and Yuke Zhu},
  journal={ArXiv},
  year={2022},
  volume={abs/2210.11435}
}
: Imitation learning offers a promising path for robots to learn general- 1 purpose tasks, but traditionally has enjoyed limited scalability due to high data 2 supervision requirements and brittle generalization. Inspired by recent work on 3 skill-based imitation learning, we investigate whether leveraging prior data from 4 previous related tasks can enable learning novel tasks in a more robust, data- 5 efficient manner. To make effective use of the prior data, the agent must inter- 6 nalize… 

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