Update README.md

README.md

@@ -25,13 +25,47 @@ model-index:
 This is a trained model of a **PPO** agent playing **LunarLander-v2**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
+## Training
+
+```python
+from stable_baselines3 import PPO
+from stable_baselines3.common.env_util import make_vec_env
+
+env = make_vec_env("LunarLander-v2", n_envs=16)
+model = PPO('MlpPolicy',
+            env=env,
+            n_steps=1024,
+            batch_size=64,
+            n_epochs=4,
+            gamma=0.999,
+            gae_lambda=0.98,
+            ent_coef=0.01,
+            verbose=1)
+model.learn(total_timesteps=10000000, progress_bar=True)
+```
+
+
 ## Usage (with Stable-baselines3)
-TODO: Add your code
 
 
 ```python
-from stable_baselines3 import ...
+from stable_baselines3 import PPO
 from huggingface_sb3 import load_from_hub
 
-...
+repo_id = "zhuqi/PPO_LunarLander-v2_steps10M"  # The repo_id
+filename = "PPO_LunarLander-v2_steps10000000.zip"  # The model filename.zip
+
+# When the model was trained on Python 3.8 the pickle protocol is 5
+# But Python 3.6, 3.7 use protocol 4
+# In order to get compatibility we need to:
+# 1. Install pickle5 (we done it at the beginning of the colab)
+# 2. Create a custom empty object we pass as parameter to PPO.load()
+custom_objects = {
+    "learning_rate": 0.0,
+    "lr_schedule": lambda _: 0.0,
+    "clip_range": lambda _: 0.0,
+}
+
+checkpoint = load_from_hub(repo_id, filename)
+model = PPO.load(checkpoint, custom_objects=custom_objects, print_system_info=True)
 ```