Upload PPO LunarLander-v2 trained agent

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: 255.49 +/- 16.99
+      value: 229.57 +/- 72.06
       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:e7579c02cef943eaf7e94dd3f8f1226cfdf7c4e78123076ddf0ff235e49bc4d3
+oid sha256:45a23ab4906274373e8ea768ebf4e26166c8bd478e4b6a09857119347dc7a12e
 size 148068

results.json

@@ -1 +1 @@
-{"mean_reward": 255.49086619999997, "std_reward": 16.99317949716753, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-07T22:06:22.237842"}
+{"mean_reward": 229.573321154815, "std_reward": 72.06339969619901, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-07T22:07:28.772475"}