Update README.md

README.md

@@ -26,12 +26,38 @@ This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
 ## Usage (with Stable-baselines3)
-TODO: Add your code
 
+```python
+import os
+
+import gymnasium as gym
+import panda_gym
+
+from huggingface_sb3 import load_from_hub, package_to_hub
+
+from stable_baselines3 import A2C
+from stable_baselines3.common.evaluation import evaluate_policy
+from stable_baselines3.common.vec_env import DummyVecEnv, VecNormalize
+from stable_baselines3.common.env_util import make_vec_env
+
+from huggingface_hub import notebook_login
+```
+
+**Environment**
 
 ```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
+env_id = "PandaReachDense-v3"
 
-...
+# Create the env
+env = gym.make(env_id)
 ```
+
+**Model**
+
+```python
+model = A2C(policy = "MultiInputPolicy",
+            env = env,
+            learning_rate = 0.0001,
+            n_steps = 10,
+            verbose=1)
+```