ml-lab / hierarchical-imitation

[NeurIPS 2019] Code for Hierarchical Third-Person Imitation Learning

Home Page:https://pathak22.github.io/hierarchical-imitation/

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Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller

NeurIPS 2019

Pratyusha Sharma, Deepak Pathak, Abhinav Gupta
Carnegie Mellon University
University of California, Berkeley

We study a generalized setup for learning from demonstration to build an agent that can manipulate novel objects in unseen scenarios by looking at only a single video of human demonstration from a third-person perspective. If you find this work useful in your research, please cite:

@inproceedings{sharma19thirdperson,
    Author = {Sharma, Pratyusha and Pathak, Deepak
              and Gupta, Abhinav},
    Title = {Third-Person Visual Imitation Learning via
              Decoupled Hierarchical Controller},
    Booktitle = {NeurIPS},
    Year = {2019}
}

Installation and Usage

Code coming soon!

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[NeurIPS 2019] Code for Hierarchical Third-Person Imitation Learning

https://pathak22.github.io/hierarchical-imitation/