Reinforcement Learning
stable-baselines3
MiniGrid-FourRooms-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ppo-MiniGrid-FourRooms-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ppo-MiniGrid-FourRooms-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ppo-MiniGrid-FourRooms-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from sb3/ppo-MiniGrid-FourRooms-v0: direct link, hf CLI and curl.
- Browser
- Download file 321 kB
-
https://huggingface.co/sb3/ppo-MiniGrid-FourRooms-v0/resolve/main/replay.mp4
- Command line
-
hf download hf://sb3/ppo-MiniGrid-FourRooms-v0/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/sb3/ppo-MiniGrid-FourRooms-v0/resolve/main/replay.mp4
321 kB
- Xet hash:
- 02b487c168172ef44b0e959b1f55a43ce3f4fb9fe13680f7a6327ec1f8fbd9e3
- Size of remote file:
- 321 kB
- SHA256:
- d6751f342a7ebff12126f1d27292c3988121c57c1b029f9ee214c3c26adccd02
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.