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 +17,45 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 295.33 +/- 16.59
+      value: 118.98 +/- 45.61
       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
+'torch_deterministic': True
+'cuda': True
+'track': False
+'wandb_project_name': 'cleanRL'
+'wandb_entity': None
+'capture_video': False
+'env_id': 'LunarLander-v2'
+'total_timesteps': 5000000
+'learning_rate': 0.0001
+'num_envs': 32
+'num_steps': 512
+'anneal_lr': True
+'gae': True
+'gamma': 0.999
+'gae_lambda': 0.98
+'num_minibatches': 128
+'update_epochs': 4
+'norm_adv': True
+'clip_coef': 0.2
+'clip_vloss': True
+'ent_coef': 0.01
+'vf_coef': 0.5
+'max_grad_norm': 0.5
+'target_kl': None
+'repo_id': 'utyug1/ppo-LunarLander-v2'
+'batch_size': 16384
+'minibatch_size': 128}
+    ```
+    

logs/events.out.tfevents.1681007002.bi-16.prod.env.947102.0

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+size 984979

model.pt

@@ -1,3 +1,3 @@
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-oid sha256:cfc3ef03dee47592ef4ec3e22a4dd6a0afb01d098cedccddc5631f7945d6614c
+oid sha256:050cb35874011d852f260d55f39e6654eeba1db38c412b0d71684d286db14c99
 size 42817

results.json

@@ -1 +1 @@
-{"mean_reward": 295.33036897216004, "std_reward": 16.589061756996717, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-08T22:33:48.426490"}
+{"env_id": "LunarLander-v2", "mean_reward": 118.97601692003536, "std_reward": 45.60572219663702, "n_evaluation_episodes": 10, "eval_datetime": "2023-04-09T03:43:11.730046"}