Update README.md

README.md

@@ -1,3 +1,45 @@
 ---
 license: mit
+language:
+- en
+pipeline_tag: reinforcement-learning
+tags:
+- reinforcement-learning
+- graph-neural-networks
+- traffic-engineering
+- routing
+- nsfnet
+- sb3
 ---
+
+# GARRO: Graph-Aware Reinforcement Routing Optimizer (NSFNet Topology)
+
+GARRO is a Graph Neural Network (GNN)-enhanced Reinforcement Learning (RL) routing policy designed for optimal traffic engineering in dynamic network topologies. This repository contains the trained model parameters, evaluation summaries, and performance benchmarks evaluated on the **NSFNet** topology.
+
+- **GitHub Repository:** [DanielAgbeni/GARRO](https://github.com/DanielAgbeni/GARRO)
+- **Framework:** PyTorch / Stable-Baselines3
+- **Topology:** NSFNet
+
+## Model Performance Benchmarks
+
+Below is the comparative performance summary of GARRO against standard routing baselines (Random, ECMP, and OSPF) on the NSFNet topology:
+
+| Algorithm | Mean Episode Reward (↑) | End-to-End Latency (ms) (↓) | Packet Delivery Ratio PDR (%) (↑) | Max Link Utilization (↓) |
+| :--- | :--- | :--- | :--- | :--- |
+| **Random** | ~41.5 | ~20.8 | ~99.6% | ~0.88 |
+| **ECMP** | ~41.8 | ~20.8 | ~99.6% | ~0.88 |
+| **OSPF** | ~52.8 | ~20.4 | ~99.7% | ~0.87 |
+| **GARRO** | **~52.8** | **~20.4** | **~99.7%** | **~0.87** |
+
+### Key Takeaways
+* **High Reward Efficiency:** GARRO significantly outperforms standard multipath (ECMP) and uncoordinated random routing, achieving mean episode rewards comparable to optimized short-path routing protocols (OSPF).
+* **Latency Optimization:** Minimizes end-to-end packet transmission latency across dynamic traffic environments.
+* **Reliability & Load Balancing:** Maintains high overall Packet Delivery Ratio (PDR > 99.7%) while effectively balancing dynamic link utilization.
+
+## Usage
+
+To load and use the model with PyTorch/Stable-Baselines3, clone the core implementation repository:
+
+```bash
+git clone [https://github.com/DanielAgbeni/GARRO.git](https://github.com/DanielAgbeni/GARRO.git)
+cd GARRO