Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Davegd/davelander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Davegd/davelander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Davegd/davelander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d08839a8f7991bb94e5042604ff49bce63b0be4c8c7c3fe643b167cf1f3e043d
- Size of remote file:
- 154 kB
- SHA256:
- a6fb49b2929e9ce62a50104f5aee17c7ce0644c5b905e9224d4b01f0143aef88
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.