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 +17,33 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 255.20 +/- 18.37
+      value: -123.76 +/- 30.91
       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
-
-
-```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
-
-...
-```
+  This is a trained model of a PPO agent playing LunarLander-v2.
+    
+  # Hyperparameters
+  ```python
+  {'exp_name': 'ppo'
+'seed': 1
+'env_id': 'LunarLander-v2'
+'total_timesteps': 50000
+'target_kl': None
+'max_grad_norm': 0.5
+'vf_coef': 0.5
+'ent_coef': 0.01
+'clip_coef': 0.2
+'clip_vloss': True
+'num_steps': 128
+'learning_rate': 0.00025
+'gae': True
+'gamma': 0.99
+'gae_lambda': 0.95
+'num_minibatches': 4
+'update_epochs': 4}
+  ```
+  

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:352b29f3c3f4d4e2a36b5743be7dd26cde2d9e8abe40e72c375dcb319e6f5ecc
+size 42597

results.json

@@ -1 +1 @@
-{"mean_reward": 255.20181252390148, "std_reward": 18.373266488216025, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-12T07:34:09.703975"}
+{"env_id": "LunarLander-v2", "mean_reward": -123.76061874000447, "std_reward": 30.91097947759295, "n_evaluation_episodes": 10, "eval_datetime": "2023-05-27T16:07:03.845831"}