From 27643e916d182739f1ea273edff51f12ad3b7e21 Mon Sep 17 00:00:00 2001
From: Denis Yarats <denisyarats@gmail.com>
Date: Sat, 2 May 2020 21:46:01 -0400
Subject: [PATCH] Update README.md

---
 README.md | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/README.md b/README.md
index 3514924..52b53a9 100644
--- a/README.md
+++ b/README.md
@@ -8,6 +8,18 @@ This is PyTorch implementation of SAC+AE from
 
 [[Paper]](https://arxiv.org/abs/1910.01741) [[Webpage]](https://sites.google.com/view/sac-ae/home)
 
+## Citation
+If you use this repo in your research, please consider citing the paper as follows
+```
+@article{yarats2019improving,
+    title={Improving Sample Efficiency in Model-Free Reinforcement Learning from Images},
+    author={Denis Yarats and Amy Zhang and Ilya Kostrikov and Brandon Amos and Joelle Pineau and Rob Fergus},
+    year={2019},
+    eprint={1910.01741},
+    archivePrefix={arXiv}
+}
+```
+
 ## Requirements
 We assume you have access to a gpu that can run CUDA 9.2. Then, the simplest way to install all required dependencies is to create an anaconda environment by running:
 ```