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 +17,43 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 280.46 +/- 17.47
+      value: -179.62 +/- 121.33
       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
+  {'f': '/root/.local/share/jupyter/runtime/kernel-a5723393-974b-45e0-9a2d-ab8b647dddaf.json'
+'exp_name': 'ppo.py'
+'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': 1000000
+'learning_rate': 0.001
+'num_envs': 4
+'num_steps': 200
+'anneal_lr': True
+'gae': True
+'gamma': 0.99
+'gae_lambda': 0.95
+'num_minibatches': 4
+'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}
+  ```
+  

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e94231d0e989bfddaa4cf26c94c968eda65facd7fdf2499dbb1f5f3c05880ae
+size 43026

results.json

@@ -1 +1 @@
-{"mean_reward": 280.4611251, "std_reward": 17.47012177471855, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-03-15T16:26:28.256935"}
+{"env_id": "LunarLander-v2", "mean_reward": -179.6157489604539, "std_reward": 121.33306337845643, "n_evaluation_episodes": 10, "eval_datetime": "2024-03-26T15:19:55.617845"}