Final official Unit 8 upload

README.md

@@ -1,10 +1,11 @@
 ---
-library_name: stable-baselines3
 tags:
 - LunarLander-v2
+- ppo
 - deep-reinforcement-learning
 - reinforcement-learning
-- stable-baselines3
+- custom-implementation
+- deep-rl-course
 model-index:
 - name: PPO
   results:
@@ -16,22 +17,8 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 9.49 +/- 135.53
+      value: 9.25 +/- 173.96
       name: mean_reward
       verified: false
 ---
-
-# **PPO** Agent playing **LunarLander-v2**
-This is a trained model of a **PPO** agent playing **LunarLander-v2**
-using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
-
-## Usage (with Stable-baselines3)
-TODO: Add your code
-
-
-```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
-
-...
-```
+# PPO LunarLander-v2

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18be00483710ee25fbf2cfb5db57cd0da1ca5269b9bb919e89d9974899cfc75a
+size 43291

results.json

@@ -1 +1 @@
-{"mean_reward": 9.492838599999995, "std_reward": 135.52910555069002, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-05-14T22:29:55.876932"}
+{"env_id": "LunarLander-v2", "mean_reward": 9.249862737528934, "std_reward": 173.96293729603985, "n_evaluation_episodes": 10, "eval_datetime": "2026-05-14T22:41:40.092997"}