Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use codeSpaghetti/PPO-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use codeSpaghetti/PPO-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="codeSpaghetti/PPO-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
91f4d2b
1
Parent(s): a7b99d9
Update README.md
Browse files
README.md
CHANGED
|
@@ -32,7 +32,7 @@ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines
|
|
| 32 |
from stable_baselines3 import ...
|
| 33 |
from huggingface_sb3 import load_from_hub
|
| 34 |
|
| 35 |
-
repo_id = "
|
| 36 |
filename = "ppo-LunarLander-v2.zip"
|
| 37 |
custom_objects = {
|
| 38 |
"learning_rate": 0.0,
|
|
|
|
| 32 |
from stable_baselines3 import ...
|
| 33 |
from huggingface_sb3 import load_from_hub
|
| 34 |
|
| 35 |
+
repo_id = "codeSpaghetti/PPO-LunarLander-v2"
|
| 36 |
filename = "ppo-LunarLander-v2.zip"
|
| 37 |
custom_objects = {
|
| 38 |
"learning_rate": 0.0,
|