Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ByteMeHarder-404/lunarlander-ppo1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ByteMeHarder-404/lunarlander-ppo1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ByteMeHarder-404/lunarlander-ppo1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a05d7e97d1a2f3c1c6be6b13607e07d890c01d91d5469d6b217d747b8623234
- Size of remote file:
- 149 kB
- SHA256:
- 93769b4988fb27857f4230037aedfd234b4f1e618d38891f94caf5007a6140bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.