Upload PPO LunarLander-v3 trained agent

README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - stable-baselines3
 model-index:
-- name: PRO
+- name: PPO
   results:
   - task:
       type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
       type: LunarLander-v3
     metrics:
     - type: mean_reward
-      value: 259.79 +/- 17.30
+      value: 243.95 +/- 17.15
       name: mean_reward
       verified: false
 ---
 
-# **PRO** Agent playing **LunarLander-v3**
-This is a trained model of a **PRO** agent playing **LunarLander-v3**
+# **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)

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:09cfbf533aace76d605d4af5267a4ee00be30d8f918dcfcfc57b4518fdb5bfc7
+oid sha256:ab73e75611a0d0812658308dcc807f309bc16cb12411ba56f9403ace5b665ba1
 size 149574

results.json

@@ -1 +1 @@
-{"mean_reward": 259.7858187999999, "std_reward": 17.29568635422646, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-27T21:49:21.402041"}
+{"mean_reward": 243.95107912828152, "std_reward": 17.152785205862205, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-27T21:55:02.138674"}