Merge of PR google-research#823

PiperOrigin-RevId: 397823861

xirl/README.md

@@ -13,9 +13,7 @@
 - [Acknowledgments](#acknowledgments)
 
 <p align="center">
-  <img src="./images/gripper_neg.gif" width="49%"/>
-  <img src="./images/gripper_pos.gif" width="49%"/>
-  <em>Interactive XIRL reward visualization on negative (left) and positive (right) demonstrations.</em>
+  <img src="./images/teaser.gif" width="75%"/>
 </p>
 
 ## Overview
@@ -52,6 +50,10 @@ For the latest updates, see: [x-irl.github.io](https://x-irl.github.io)
 We use Python 3.8 and [Miniconda](https://docs.conda.io/en/latest/miniconda.html) for development. To create an environment and install dependencies, run the following steps:
 
 ```bash
+# Clone and cd into xirl.
+git clone [email protected]:google-research/google-research.git --depth=1
+cd google-research/xirl
+
 # Create and activate environment.
 conda create -n xirl python=3.8
 conda activate xirl
@@ -134,10 +136,10 @@ Many people have contibuted one way or another in the making and shaping of this
 If you find this code useful, consider citing our work:
 
 ```bibtex
-@article{zakka2021xirl,
-    title = {XIRL: Cross-embodiment Inverse Reinforcement Learning},
-    author = {Zakka, Kevin and Zeng, Andy and Florence, Pete and Tompson, Jonathan and Bohg, Jeannette and Dwibedi, Debidatta},
-    journal = {Conference on Robot Learning (CoRL)},
-    year = {2021}
+@inproceedings{zakka2021xirl,
+  author    = {Zakka, Kevin and Zeng, Andy and Florence, Pete and Tompson, Jonathan and Bohg, Jeannette and Dwibedi, Debidatta},
+  title     = {XIRL: Cross-embodiment Inverse Reinforcement Learning},
+  booktitle = {Proceedings of the 5th Conference on Robot Learning (CoRL)},
+  year      = {2021},
 }
 ```