Update README.md

README.md

@@ -1,3 +1,42 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- robotics
+- reinforcement-learning
+- vision-language-action
+- manipulation
+---
+
+# Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation
+
+[![Paper](https://img.shields.io/badge/Paper-arXiv-red)](https://arxiv.org/pdf/2603.21051)
+[![GitHub](https://img.shields.io/badge/Code-GitHub-black)](https://github.com/iLearn-Lab/ICLR26-Cortical_Policy)
+
+**Official pretrained weights for Cortical Policy (ICLR 2026).** This model integrates static and dynamic visual streams to enhance spatial reasoning and dynamic adaptation for robotic manipulation.
+
+
+## 📂 Repository Structure
+
+This repository contains the necessary checkpoints to run and evaluate the Cortical Policy framework. The weights are organized into two main categories:
+
+* **`dynamic_view_stream_backbone_weights/`**: Contains the pretrained weights for the Gaze Model (dynamic-view stream), pre-trained on Ego4D and fine-tuned for position awareness.
+* **`policy_weights/`**: Contains the final trained policy checkpoints (`model.pth`) along with the corresponding YAML configuration files (`exp_cfg.yaml`, `mvt_cfg.yaml`).
+
+## 🛠️ Usage
+
+Please refer to our official GitHub repository for the complete installation guide, data preparation steps, and training/evaluation scripts:
+
+👉 **[iLearn-Lab/ICLR26-Cortical_Policy](https://github.com/iLearn-Lab/ICLR26-Cortical_Policy)**
+
+## 📝 Citation
+
+If you find our model or code useful in your research, please cite our ICLR 2026 paper:
+
+```bibtex
+@inproceedings{zhang2026cortical,
+  title={Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation},
+  author={Xuening Zhang and Qi Lv and Xiang Deng and Miao Zhang and Xingbo Liu and Liqiang Nie},
+  booktitle={The Fourteenth International Conference on Learning Representations},
+  year={2026}
+}
+```