# Visual Priors


# Intro
This package contains the code for the paper:

**Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies**. Arxiv 2018/CoRL 2019. Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir R. Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik.

- For a fuller description and useful results and demos, and much more, see the website [http://perceptual.actor](http://perceptual.actor).
- For the code in this package, see [https://github.com/alexsax/midlevel-reps/tree/visualpriors](https://github.com/alexsax/midlevel-reps/tree/visualpriors).
- For the full code from the paper, dockers to reproduce experiments, and more, see [https://github.com/alexsax/midlevel-reps](https://github.com/alexsax/midlevel-reps).


### Citation
If you find this repository or toolkit useful, then please cite:
```
@inproceedings{midLevelReps2018,
 title={Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies.},
 author={Alexander Sax and Jeffrey O. Zhang and Bradley Emi and Amir R. Zamir and Leonidas J. Guibas and Silvio Savarese and Jitendra Malik},
 year={2018},
}
```


