Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 237.11 +/- 50.89
+      value: 230.42 +/- 47.61
       name: mean_reward
       verified: false
 ---
@@ -27,19 +27,11 @@ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines
 
 ## Usage (with Stable-baselines3)
 TODO: Add your code
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
-
-...
 
 
 ```python
 from stable_baselines3 import ...
 from huggingface_sb3 import load_from_hub
-from huggingface_sb3 import load_from_hub
-checkpoint = load_from_hub(
-	repo_id="Indegons/ppo-LunarLander-v2",
-	filename="{MODEL FILENAME}.zip",
-)
+
 ...
 ```

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:abb53828dc078312075c6b8716ea6f9a5eaf5980de4313b087f49cb00a6083c2
+oid sha256:8cd79047205d59c40bb3047c13f7024980e26a5151626b1ab62cd880f861c8af
 size 147387

results.json

@@ -1 +1 @@
-{"mean_reward": 237.10584846205992, "std_reward": 50.892162611718696, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-26T07:18:51.528102"}
+{"mean_reward": 230.42066480231156, "std_reward": 47.60522938266579, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-26T07:38:11.784753"}