Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ashrek/LunarLander-PPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ashrek/LunarLander-PPO with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ashrek/LunarLander-PPO", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from ashrek/LunarLander-PPO: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/ashrek/LunarLander-PPO/resolve/main/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://ashrek/LunarLander-PPO/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/ashrek/LunarLander-PPO/resolve/main/ppo-LunarLander-v2.zip
144 kB
- Xet hash:
- b5295b5754f5b166548bf670da038e588032b76d65fe213286a4675ac5f2cb9f
- Size of remote file:
- 144 kB
- SHA256:
- 2f19bb9313c0509b54aa41920d220233eb067afa629f120a3f8734f055bd47d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.