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 +17,40 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 288.87 +/- 17.85
+      value: 191.79 +/- 96.38
       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
+  ```python
+  {'path': '/content/drive/MyDrive/Colab Notebooks/HuggingFace/RL/Unit08'
+'name': 'ppo-LunaLander_1.pt'
+'env-id': 'LunarLander-v2'
+'agent_properties': {'num_layers': 2
+'hidden': 128
+'activation': 'Tanh'}
+'seed': ''
+'device': 'cuda'
+'total_timesteps': 100000
+'num_steps': 32768
+'batch_size': 64
+'update_epochs': 2
+'learning_rate': 1e-05
+'lr_schedule': 'Exp'
+'lr_final': 1e-06
+'gamma': 0.995
+'gae_lambda': 0.99
+'norm_adv': 'True'
+'clip_coef': 0.2
+'clip_vloss': 'False'
+'entropy_loss_coef': 0.01
+'value_loss_coef': 0.5
+'max_grad_norm': 0.5
+'n_eval_episodes': 10}
+  ```
+  

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07ec96972ddd578bac5547cc0dc02dcb63cbaf8437af45a0e9c18eb8054ae1a8
+size 8744

results.json

@@ -1 +1 @@
-{"mean_reward": 288.8737752, "std_reward": 17.847514688393968, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-11-08T10:22:42.851796"}
+{"env_id": "LunarLander-v2", "mean_reward": 191.7946600494358, "std_reward": 96.37600757418993, "n_evaluation_episodes": 10, "eval_datetime": "2023-12-30T10:53:53.358557"}