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: -644.53 +/- 178.14
+      value: -667.14 +/- 104.58
       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)

lunar_ppo.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:129f1de0fb293464f92e59d83440e3a3d4c9e91ab408b2c8f2714a224807aace
+oid sha256:6c1cd64dfe2ee345bac748db37a28988683fa448301162f22de30541ec1dba8a
 size 53040

results.json

@@ -1 +1 @@
-{"mean_reward": -644.5331588841975, "std_reward": 178.1365724910863, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-26T15:12:22.942358"}
+{"mean_reward": -667.1442909455393, "std_reward": 104.57665991481022, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-26T15:12:49.700971"}