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: 265.76 +/- 44.28
+      value: 172.71 +/- 100.17
       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.1676544463.8fd205e99b1d.6987.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cd660915277dd3a1bc91bc34f2cfac982f35dfa6b07bb54d2409b1c2f2f784d
+size 371567

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e28f50367243fbad02fd115acaf81f0db63ee2d9f41a754dd8204974d281e706
+size 42597

results.json

@@ -1 +1 @@
-{"mean_reward": 265.76383637780265, "std_reward": 44.27866929774069, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-02-09T10:20:25.191081"}
+{"env_id": "LunarLander-v2", "mean_reward": 172.71250711124205, "std_reward": 100.1728897899622, "n_evaluation_episodes": 10, "eval_datetime": "2023-02-16T11:06:05.962471"}