Push agent to the Hub

README.md

@@ -1,10 +1,11 @@
 ---
-library_name: stable-baselines3
 tags:
-- LunarLander-v2
+- LunarLander-v3
+- ppo
 - deep-reinforcement-learning
 - reinforcement-learning
-- stable-baselines3
+- custom-implementation
+- deep-rl-course
 model-index:
 - name: PPO
   results:
@@ -12,26 +13,49 @@ model-index:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
-      name: LunarLander-v2
-      type: LunarLander-v2
+      name: LunarLander-v3
+      type: LunarLander-v3
     metrics:
     - type: mean_reward
-      value: 271.14 +/- 12.51
+      value: -147.03 +/- 92.69
       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-v3
 
-## Usage (with Stable-baselines3)
-TODO: Add your code
+  This is a trained model of a PPO agent playing LunarLander-v3.
 
-
-```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
-
-...
-```
+  # 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-v3'
+'total_timesteps': 100000
+'learning_rate': 0.00025
+'num_envs': 4
+'num_steps': 128
+'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
+'repo_id': 'FranticUser/ppo-LunarLander-v2'
+'batch_size': 512
+'minibatch_size': 128}
+  ```
+  

logs/events.out.tfevents.1770181550.146a01270f08.15959.0

@@ -0,0 +1,3 @@
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+oid sha256:f51144ae9b3d3d0cb189d305d6a3d6312aab56de26799276c4c3d23b3c0f9511
+size 100881

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5547963466f4af98a23e576ef2afb0859ea7b463b1e9d9d1916c70b211758e1c
+size 43419

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:721514f2a73ac83fccc668096fa7c471a30209190a1268154ae3fc7079a87b1e
-size 157602
+oid sha256:def4719387f59ff0124a7ddc9424d157390178ae470908d8578934bfb39d638a
+size 24317

results.json

@@ -1 +1 @@
-{"mean_reward": 271.143363, "std_reward": 12.505171757103723, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-01-27T04:05:03.313143"}
+{"env_id": "LunarLander-v3", "mean_reward": -147.03112653616944, "std_reward": 92.68997174181693, "n_evaluation_episodes": 10, "eval_datetime": "2026-02-04T05:07:01.332737"}