Edits to the README.

PiperOrigin-RevId: 351134975

distracting_control/README.md

@@ -1,4 +1,9 @@
-# `distracting_control_suite`: A visual distraction suite for `dm_control`
+# The Distracting Control Suite
+
+`distracting_control` extends `dm_control` with static or dynamic visual
+distractions in the form of changing colors, backgrounds, and camera poses. 
+Details and experimental results can be found in our
+[paper](https://arxiv.org/pdf/2101.02722.pdf).
 
 ## Requirements and Installation
 
@@ -11,27 +16,31 @@
 
 ## Instructions
 
-* You can run the `distracting_control_demo` to generate sample images of thet
+* You can run the `distracting_control_demo` to generate sample images of the
   different tasks at different difficulties:
 
   ```
   python distracting_control_demo --davis_path=$HOME/DAVIS/JPEGImages/480p/
   --output_dir=/tmp/distrtacting_control_demo
   ```
 * As seen from the demo to generate an instance of the environment you simply
-  need to import the suitet and use `suite.load` while specifying the
+  need to import the suite and use `suite.load` while specifying the
   `dm_control` domain and task, then choosing a difficulty and providing the
   dataset_path.
 
 * Note the environment follows the dm_control environment APIs.
 
 ## Paper
 
-TODO: link to arxiv paper
-
-If you use this code, please cite it as:
+If you use this code, please cite the accompanying [paper](https://arxiv.org/pdf/2101.02722.pdf) as:
 
 ```
+@article{stone2021distracting,
+      title={The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels}, 
+      author={Austin Stone and Oscar Ramirez and Kurt Konolige and Rico Jonschkowski},
+      year={2021},
+      journal={arXiv preprint arXiv:2101.02722},
+}
 ```
 
 ## Disclaimer