higher

README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - stable-baselines3
 model-index:
-- name: PPO
+- name: PPO_lr_steps&epoches+
   results:
   - task:
       type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -321.27 +/- 189.04
+      value: -309.63 +/- 176.47
       name: mean_reward
       verified: false
 ---
 
-# **PPO** Agent playing **LunarLander-v2**
-This is a trained model of a **PPO** agent playing **LunarLander-v2**
+# **PPO_lr_steps&epoches+** Agent playing **LunarLander-v2**
+This is a trained model of a **PPO_lr_steps&epoches+** 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 sha256:97cdc9078f17bb4012c28568f97e0171725f03a1e8be6b192aa31c3462fbd43c
+oid sha256:1a4e528a7f7735807a0be594a20bb53176ca0947d35c4c222ff8b2d646052927
 size 53040

results.json

@@ -1 +1 @@
-{"mean_reward": -321.26506654954284, "std_reward": 189.04358641343174, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-09T15:04:08.903658"}
+{"mean_reward": -309.6290367351379, "std_reward": 176.46768590323123, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-09T15:06:28.497591"}