Upload PPO LunarLander-v3 trained agent

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+replay.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -16,16 +16,19 @@ model-index:
       type: LunarLander-v3
     metrics:
     - type: mean_reward
-      value: 262.11 +/- 18.76
+      value: 249.05 +/- 22.84
       name: mean_reward
       verified: false
 ---
 
 # **PPO** Agent playing **LunarLander-v3**
+
 This is a trained model of a **PPO** agent playing **LunarLander-v3**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
+
 ## Usage (with Stable-baselines3)
+
 TODO: Add your code
 
 
@@ -34,4 +37,4 @@ from stable_baselines3 import ...
 from huggingface_sb3 import load_from_hub
 
 ...
-```
+```

ppo-LunarLander-v3.zip

@@ -1,3 +1,3 @@
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+oid sha256:0f8d4ee68f5c69a211490827c47e00a3bed50fd7442aabc851341dc1ed7212d3
 size 150018

replay.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13a189a937069e1241cf3929c37295290d11724831cd87b6a4f36fe77af3f523
+size 172294

results.json

@@ -1 +1 @@
-{"mean_reward": 262.1123929, "std_reward": 18.760983661343836, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-29T09:28:31.203644"}
+{"mean_reward": 249.04974040000002, "std_reward": 22.84209448961791, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-29T09:29:04.881144"}