Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AlexChe/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AlexChe/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AlexChe/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from AlexChe/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 239 kB
-
https://huggingface.co/AlexChe/ppo-LunarLander-v2/resolve/main/replay.mp4
- Command line
-
hf download hf://AlexChe/ppo-LunarLander-v2/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/AlexChe/ppo-LunarLander-v2/resolve/main/replay.mp4
239 kB
- Xet hash:
- 64f8295337d7b105d5b12ac2d585050eee324fcfa2c3ba2b55493acd01ab2170
- Size of remote file:
- 239 kB
- SHA256:
- 91fb5a4c9261ea4dead573ca0cc7ea174e36c0fd368223d149d44f4ee3292033
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.