Upload PPO LunarLander-v2 trained agent

README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - stable-baselines3
 model-index:
-- name: LunarLander-v2
+- name: PPO
   results:
   - task:
       type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 251.67 +/- 21.20
+      value: 236.72 +/- 60.60
       name: mean_reward
       verified: false
 ---
 
-# **LunarLander-v2** Agent playing **LunarLander-v2**
-This is a trained model of a **LunarLander-v2** agent playing **LunarLander-v2**
+# **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)

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
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+oid sha256:1f311a0ec75ce00d1b6312bb2ff55bcc9c9753fa89785790a8e16703724f1367
 size 148128

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:58c13a49bdcc3b79c02ea8d71909f63a74cad151d3a794bdefb110a165736c48
-size 169207
+oid sha256:8337f75ec290a1e7ae1b3289d32f05f3d018373dc001f678e69e0b0fd742d33e
+size 165475

results.json

@@ -1 +1 @@
-{"mean_reward": 251.6671413, "std_reward": 21.201049157045787, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-02-17T04:25:20.274359"}
+{"mean_reward": 236.71562979849222, "std_reward": 60.60471112593482, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-02-17T04:28:41.662870"}