Upload PPO LunarLander-v2 trained baseline agent

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 262.24 +/- 18.99
+      value: 270.27 +/- 20.40
       name: mean_reward
     task:
       type: reinforcement-learning
@@ -21,6 +21,7 @@ model-index:
 ---
 
 
+
 # **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).

ppo2-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e5386cdbe56c71b1561bb72e563b242ee2a4c70c85ba528f2daef6e6b619dc4c
 size 142955

results.json

@@ -1 +1 @@
-{"mean_reward": 262.24498955034096, "std_reward": 18.990579933039207, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-28T21:06:43.345314"}
+{"mean_reward": 270.2667875228859, "std_reward": 20.39528307968006, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-28T21:09:43.693026"}