Create README.md

README.md

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+# Huggy - Trained Agent
+
+**Author:** Vishand03  
+**Model Type:** Reinforcement Learning (PPO)  
+**Environment:** Custom Huggy Environment (ML-Agents)  
+**Framework:** ML-Agents + PyTorch  
+
+---
+
+## Description
+This model is a trained Huggy agent using the PPO algorithm.  
+It learns to navigate and complete tasks in the Huggy environment.  
+
+---
+
+## Training Details
+- **Trainer:** PPO  
+- **Steps:** ~800,000 (can be resumed)  
+- **Reward:** ~3.9 mean reward at the last checkpoint  
+- **Hyperparameters:**
+  - Batch size: 4096  
+  - Buffer size: 40960  
+  - Learning rate: 0.0001  
+  - Gamma: 0.995  
+  - Lambda: 0.95  
+
+---
+
+## Usage
+```python
+from mlagents_envs.environment import UnityEnvironment
+from mlagents_envs.base_env import ActionTuple
+import onnxruntime as ort
+
+env = UnityEnvironment(file_name="Huggy.x86_64", no_graphics=True)
+# Load model
+session = ort.InferenceSession("Huggy-799913.onnx")
+# Continue with your inference pipeline...