Update README.md

README.md

@@ -1,5 +1,6 @@
----
+library_name: pytorch
 license: mit
+pipeline_tag: reinforcement-learning
 tags:
   - reinforcement-learning
   - continuous-control
@@ -12,11 +13,11 @@ tags:
   - representation-learning
 library_name: pytorch
 pipeline_tag: reinforcement-learning
----
 
 # DR.Q: Debiased Model-based Representations for Sample-efficient Continuous Control
 
 [![Paper](https://img.shields.io/badge/Paper-ICML2026-purple)](https://openreview.net/forum?id=ZP1p8k106p)
+[![Hugging Face Paper](https://img.shields.io/badge/huggingface-paper-yellow?logo=huggingface)](https://huggingface.co/papers/2605.11711)
 [![GitHub](https://img.shields.io/badge/GitHub-Code-black)](https://github.com/dmksjfl/DR.Q)
 [![License](https://img.shields.io/badge/License-MIT-green)](https://github.com/dmksjfl/DR.Q/blob/master/LICENSE)
 
@@ -24,6 +25,11 @@ Official pretrained model weights for **DR.Q**, presented at the **Forty-third I
 
 > **Authors:** Jiafei Lyu, Zichuan Lin, Scott Fujimoto, Kai Yang, Yangkun Chen, Saiyong Yang, Zongqing Lu, Deheng Ye
 
+## 🔍 Overview
+
+The framework of DR.Q is shown below:
+
+![DR.Q Framework](https://github.com/dmksjfl/DR.Q/raw/master/assets/framework.png)
 
 ## Model Description
 
@@ -65,7 +71,7 @@ python main.py --env HBench-h1-run-v0
 
 ### Loading Pretrained Weights
 
-Pretrained model weights for all reported tasks are hosted here on HuggingFace
+Pretrained model weights for all reported tasks are hosted here on HuggingFace.
 
 ## Training Details