Update README.md

README.md

@@ -26,12 +26,10 @@ This is a trained model of a **PPO** agent playing **MountainCar-v0**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
 # Model Details
-```python
 - 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