Upload PPO LunarLander-v2 trained baseline agent

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 288.98 +/- 14.11
+      value: 291.42 +/- 16.47
       name: mean_reward
     task:
       type: reinforcement-learning
@@ -24,6 +24,7 @@ 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).

ppo3-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a67e6bb1aab9b5e596a9f316e2154431c99993c499d5639886f78c0530cf6b88
+oid sha256:4f0fb44425e7f1042d2b9e81f75b72e2d20ff04d57ebb4ac3a6f2e2a92ef6db0
 size 142911

results.json

@@ -1 +1 @@
-{"mean_reward": 288.97849806711315, "std_reward": 14.110054148436564, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-28T22:28:04.909956"}
+{"mean_reward": 291.4193619316618, "std_reward": 16.47393064310555, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-28T22:28:40.768240"}