Upload PPO LunarLander-v2 trained agent from tutorial

README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - stable-baselines3
 model-index:
-- name: ppo
+- name: PPO
   results:
   - task:
       type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 258.15 +/- 36.03
+      value: 268.61 +/- 17.46
       name: mean_reward
       verified: false
 ---
 
-# **ppo** Agent playing **LunarLander-v2**
-This is a trained model of a **ppo** 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 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:847339ad37e365956333c6ac3b7e2301a23f8e4e59226e674000aba9634746d7
+oid sha256:489311094da88aa30d04e72a45cb83c2a9170c8c852e955b6913a9f3dd4da6f1
 size 150270

results.json

@@ -1 +1 @@
-{"mean_reward": 258.14668363665993, "std_reward": 36.029017746457576, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-20T22:42:48.690641"}
+{"mean_reward": 268.6093570986253, "std_reward": 17.46001778752758, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-20T22:44:24.202030"}