Update README.md

README.md

@@ -25,13 +25,26 @@ model-index:
 This is a trained model of a **PPO** agent playing **MountainCar-v0**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
-## Usage (with Stable-baselines3)
-TODO: Add your code
-
-
+# Model Details
 ```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
-
-...
+-  Model Name: ppo-MountainCar-v0
+- Model Type: Proximal Policy Optimization (PPO)
+- Policy Architecture: MultiLayerPerceptron (MLPPolicy)
+- Environment: MountainCar-v0
 ```
+- Training Data: The model was trained using three consecutive training sessions:
+  - First training session: Total timesteps = 1,000,000
+  - Second training session: Total timesteps = 500,000
+  - Third training session: Total timesteps = 500,000
+
+# Model Parameters
+```python
+- n_steps: 2048
+- batch_size: 64
+- n_epochs: 8
+- gamma: 0.999
+- gae_lambda: 0.95
+- ent_coef: 0.01
+- max_grad_norm: 0.5
+- Verbose: Enabled (Verbose level = 1)
+```