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: 297.20 +/- 11.15
+      value: -150.35 +/- 66.60
       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.1682559541.CAPTAIN-AMERICA.2368240.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:def038a9b0ef85c0547c8b3ae762dff79f26c20d176f013470387a447820f0db
+size 85640

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ee76569aadf1c5674987430043851d26cd70daf041c9571fc4a6989f23655ee
+size 42817

results.json

@@ -1 +1 @@
-{"mean_reward": 297.2037037176758, "std_reward": 11.145397119262364, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-23T08:38:27.417580"}
+{"env_id": "LunarLander-v2", "mean_reward": -150.35280281352277, "std_reward": 66.59951310747445, "n_evaluation_episodes": 10, "eval_datetime": "2023-04-26T21:39:33.486452"}