Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+
+**robomimic** is a framework for robot learning from demonstration.
+It offers a broad set of demonstration datasets collected on robot manipulation domains and offline learning algorithms to learn from these datasets.
+**robomimic** aims to make robot learning broadly *accessible* and *reproducible*, allowing researchers and practitioners to benchmark tasks and algorithms fairly and to develop the next generation of robot learning algorithms.
+
+This repository contains some of the datasets released with the robomimic framework.
+
+## Citation
+
+Please cite [this paper](https://arxiv.org/abs/2108.03298) if you use this framework in your work:
+
+```bibtex
+@inproceedings{robomimic2021,
+  title={What Matters in Learning from Offline Human Demonstrations for Robot Manipulation},
+  author={Ajay Mandlekar and Danfei Xu and Josiah Wong and Soroush Nasiriany and Chen Wang and Rohun Kulkarni and Li Fei-Fei and Silvio Savarese and Yuke Zhu and Roberto Mart\'{i}n-Mart\'{i}n},
+  booktitle={Conference on Robot Learning (CoRL)},
+  year={2021}
+}
+```