Push agent to the Hub

README.md

@@ -1,10 +1,11 @@
 ---
-library_name: stable-baselines3
 tags:
 - LunarLander-v2
+- ppo
 - deep-reinforcement-learning
 - reinforcement-learning
-- stable-baselines3
+- custom-implementation
+- deep-rl-course
 model-index:
 - name: PPO
   results:
@@ -16,22 +17,14 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 254.26 +/- 17.49
+      value: -126.67 +/- 35.74
       name: mean_reward
       verified: false
 ---
 
-# **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).
+  # PPO Agent Playing LunarLander-v2
 
-## Usage (with Stable-baselines3)
-TODO: Add your code
+  This is a trained model of a PPO agent playing LunarLander-v2.
 
-
-```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
-
-...
-```
+  # Hyperparameters
+  

logs/events.out.tfevents.1690964812.MacBook-Pro-22.76581.0

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+oid sha256:40fd8fc1510a43ff5bde1acb193044fa6bbac34b78e907110aad91831ddca42f
+size 113644

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fcca776ee11af25205adf0a24da55f9d24452766ebc66c417d880e33a751e25
+size 42689

results.json

@@ -1 +1 @@
-{"mean_reward": 254.2559081, "std_reward": 17.487007936536546, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-07-27T11:12:16.151340"}
+{"env_id": "LunarLander-v2", "mean_reward": -126.66836372154998, "std_reward": 35.73907443294365, "n_evaluation_episodes": 10, "eval_datetime": "2023-08-02T10:27:06.638234"}