Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dgodderis/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dgodderis/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dgodderis/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download LunarLander_v1.zip from dgodderis/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/dgodderis/ppo-LunarLander-v2/resolve/main/LunarLander_v1.zip
- Command line
-
hf download hf://dgodderis/ppo-LunarLander-v2/LunarLander_v1.zip
-
curl -L -o LunarLander_v1.zip https://huggingface.co/dgodderis/ppo-LunarLander-v2/resolve/main/LunarLander_v1.zip
147 kB
- Xet hash:
- 662f9ed53a951b818a84b641698776aa4102a9f879fa35c1a1c9b1949d940dea
- Size of remote file:
- 147 kB
- SHA256:
- ae5fa96b2ef786d0e701a4b39f4770fd5a4c8e08fa5fdf5f7171d2c6ce3bb5f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.